├── CNAME
├── .gitignore
├── robots.txt
├── sitemap.xml
├── .readme.tmpl
├── LICENSE
├── .html.tmpl
├── README.md
└── index.html


/CNAME:
--------------------------------------------------------------------------------
1 | awesome-clickhouse.korchasa.dev


--------------------------------------------------------------------------------
/.gitignore:
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1 | .idea
2 | .DS_Store
3 | .env
4 | .data.yaml
5 | config.yaml
6 | 


--------------------------------------------------------------------------------
/robots.txt:
--------------------------------------------------------------------------------
1 | User-agent: *
2 | Allow: /
3 | 
4 | Sitemap: https://awesome-clickhouse.korchasa.dev/sitemap.xml


--------------------------------------------------------------------------------
/sitemap.xml:
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1 | <?xml version="1.0" encoding="UTF-8"?>
2 | <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
3 |   <url>
4 |     <loc>https://awesome-clickhouse.korchasa.dev/</loc>
5 |     <lastmod>2025-11-08</lastmod>
6 |     <changefreq>weekly</changefreq>
7 |     <priority>1.0</priority>
8 |   </url>
9 | </urlset>


--------------------------------------------------------------------------------
/.readme.tmpl:
--------------------------------------------------------------------------------
 1 | {{- define "CategoryTOC" -}}
 2 | {{- range . }}
 3 | {{- if or .Items .Categories }}
 4 | {{- $indent := mul .Depth 4 }}{{- printf "%*s" $indent "" }}- [{{ .Title }}](#{{ .Title | lower | replace " " "-" }}) {{ if .Items -}}({{ len .Items }}){{- end }}
 5 | {{ if .Categories -}}
 6 | {{ template "CategoryTOC" .Categories }}
 7 | {{- end -}}
 8 | {{- end }}
 9 | {{ end -}}
10 | {{- end -}}
11 | 
12 | {{- define "CategoryView" -}}
13 | {{- range . }}
14 | {{- if or .Items .Categories }}
15 | ##{{- repeat .Depth "#" }} {{ .Title }}
16 | {{ if .Items -}}
17 | {{- range .Items }}
18 | - [{{ .Name }}]({{ .Link }}) (★{{ .Stars }} {{ .Language }}) - {{ .Summary }}
19 | {{- end }}
20 | {{- end }}
21 | {{ if .Categories -}}
22 | {{ template "CategoryView" .Categories }}
23 | {{- end -}}
24 | {{- end }}
25 | {{ end -}}
26 | {{- end -}}
27 | 
28 | # {{ .Config.Project.Name }}
29 | 
30 | > **Note:** {{ .Config.Project.Note }}
31 | 
32 | {{ .Config.Project.Description | safeHTML }}
33 | 
34 | Table of Contents:
35 | {{ template "CategoryTOC" .Categories }}
36 | 
37 | {{ template "CategoryView" .Categories }}
38 | 
39 | ## License
40 | 
41 | [<img src="https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg">](https://creativecommons.org/publicdomain/zero/1.0/)
42 | 


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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122 | 


--------------------------------------------------------------------------------
/.html.tmpl:
--------------------------------------------------------------------------------
  1 | <!DOCTYPE html>
  2 | <html lang="en">
  3 | <head>
  4 |     <meta charset="UTF-8">
  5 |     <meta name="viewport" content="width=device-width, initial-scale=1.0">
  6 |     <meta name="description" content="{{ .Config.Project.Description }}">
  7 |     <meta name="keywords" content="{{ .Config.Project.Website.Keywords }}">
  8 |     <meta name="author" content="{{ .Config.Project.Website.Author }}">
  9 |     <meta property="og:title" content="{{ .Config.Project.Name }}">
 10 |     <meta property="og:description" content="{{ .Config.Project.Description }}">
 11 |     <meta property="og:type" content="website">
 12 |     <meta property="og:url" content="{{ .Config.Project.Website.URL }}">
 13 |     <meta name="twitter:card" content="summary_large_image">
 14 |     <meta name="twitter:title" content="{{ .Config.Project.Name }}">
 15 |     <meta name="twitter:description" content="{{ .Config.Project.Description }}">
 16 | 
 17 |     <link rel="preconnect" href="https://fonts.googleapis.com">
 18 |     <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
 19 |     <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;600&family=Roboto+Mono:wght@400;600&display=swap" rel="stylesheet">
 20 | 
 21 |     <!-- Favicon and mobile icons -->
 22 |     <link rel="icon" href="{{ .Config.Project.Website.Icons.Favicon }}" sizes="any">
 23 |     <link rel="icon" href="{{ .Config.Project.Website.Icons.SVG }}" type="image/svg+xml">
 24 |     <link rel="apple-touch-icon" href="{{ .Config.Project.Website.Icons.Apple }}">
 25 |     <link rel="manifest" href="{{ .Config.Project.Website.Icons.Manifest }}">
 26 |     <meta name="theme-color" content="{{ .Config.Project.Website.ThemeColor }}">
 27 |     <meta name="apple-mobile-web-app-capable" content="yes">
 28 |     <meta name="apple-mobile-web-app-status-bar-style" content="default">
 29 | 
 30 |     <title>{{ .Config.Project.Name }}</title>
 31 |     <style>
 32 |         body {
 33 |             font-family: 'JetBrains Mono', 'Roboto Mono', 'SFMono-Regular', Consolas, 'Liberation Mono', Menlo, monospace;
 34 |             background-color: #f9f9f9;
 35 |             color: #333;
 36 |             margin: 0;
 37 |             padding: 20px;
 38 |             line-height: 1.8;
 39 |             font-size: 16px;
 40 |         }
 41 |         h1, h2, h3, h4, h5, h6 {
 42 |             margin: 2rem 0 1.2rem;
 43 |             font-weight: 600;
 44 |             line-height: 1.4;
 45 |         }
 46 |         h1 {
 47 |             font-size: 2.5em;
 48 |             margin: 1rem 0 2rem;
 49 |             border-bottom: 2px solid #eaecef;
 50 |             padding-bottom: 10px;
 51 |         }
 52 |         h2 {
 53 |             font-size: 2em;
 54 |             margin: 2.5rem 0 1.5rem;
 55 |             border-bottom: 1px solid #eaecef;
 56 |             padding-bottom: 8px;
 57 |         }
 58 |         h3 {
 59 |             font-size: 1.25em;
 60 |             margin: 2rem 0 1rem;
 61 |         }
 62 |         h4 {
 63 |             font-size: 1em;
 64 |             margin: 1.5rem 0 0.8rem;
 65 |         }
 66 |         p {
 67 |             margin: 0 0 1.5rem;
 68 |             max-width: 85ch;
 69 |         }
 70 |         ul {
 71 |             list-style: none;
 72 |             padding: 0;
 73 |             margin: 0 0 2rem;
 74 |         }
 75 |         li {
 76 |             margin: 1rem 0;
 77 |             padding-left: 1em;
 78 |             position: relative;
 79 |             line-height: 1.6;
 80 |         }
 81 |         li::before {
 82 |             content: "•";
 83 |             position: absolute;
 84 |             left: 0;
 85 |             color: #0366d6;
 86 |         }
 87 |         a {
 88 |             color: {{ .Config.Project.Website.ThemeColor }};
 89 |             text-decoration: none;
 90 |             border-bottom: 1px dotted transparent;
 91 |             transition: border-color 0.2s ease;
 92 |         }
 93 |         a:hover {
 94 |             border-bottom-color: {{ .Config.Project.Website.ThemeColor }};
 95 |             text-decoration: none;
 96 |         }
 97 |         .note {
 98 |             background-color: #e7f3fe;
 99 |             border-left: 4px solid #007acc;
100 |             padding: 15px;
101 |             margin: 2.5rem 0;
102 |             border-radius: 4px;
103 |             font-size: 0.95em;
104 |         }
105 |         .license {
106 |             margin-top: 4rem;
107 |             margin-bottom: 2rem;
108 |             text-align: center;
109 |             padding: 1rem;
110 |             border-top: 1px solid #eee;
111 |         }
112 |         .stars {
113 |             color: #4d88ff;
114 |             font-weight: bold;
115 |             display: inline-block;
116 |             margin-right: 5px;
117 |             font-size: 0.9em;
118 |         }
119 |         .language {
120 |             color: #6a737d;
121 |             font-size: 0.9em;
122 |             display: inline-block;
123 |             margin-right: 8px;
124 |             margin-left: 3px;
125 |             background-color: #f1f1f1;
126 |             padding: 0.1rem 0.4rem;
127 |             border-radius: 3px;
128 |         }
129 |         .container {
130 |             max-width: 960px;
131 |             margin: 0 auto;
132 |             background: #fff;
133 |             padding: 40px 50px;
134 |             box-shadow: 0 0 10px rgba(0,0,0,0.1);
135 |             border-radius: 8px;
136 |         }
137 |         header, nav, main, footer {
138 |             margin-bottom: 3rem;
139 |             padding: 0 15px;
140 |         }
141 |         section {
142 |             padding-bottom: 1rem;
143 |         }
144 |         section + section {
145 |             border-top: 1px dashed #eee;
146 |             padding-top: 1.5rem;
147 |         }
148 |         /* More compact TOC */
149 |         nav ul li {
150 |             margin: 0.3rem 0;
151 |             font-size: 0.95em;
152 |             line-height: 1.4;
153 |         }
154 |         /* Nested TOC elements */
155 |         nav ul ul {
156 |             margin: 0.3rem 0 0.3rem 0.8rem;
157 |         }
158 |         /* Style for item count in TOC */
159 |         nav ul li span {
160 |             color: #666;
161 |             font-size: 0.85em;
162 |         }
163 |         main ul li:hover {
164 |             border-left-color: #007acc;
165 |             background: #f5f9ff;
166 |         }
167 |         /* Styles for static menu */
168 |         .main-menu {
169 |             margin-bottom: 1rem;
170 |         }
171 |         .main-menu ul {
172 |             list-style: none;
173 |             padding: 0;
174 |             margin: 0;
175 |             display: flex;
176 |             gap: 1rem;
177 |         }
178 |         .main-menu li {
179 |             margin: 0;
180 |         }
181 |         .main-menu a {
182 |             color: #0366d6;
183 |             text-decoration: none;
184 |             font-weight: 500;
185 |         }
186 |         .main-menu a:hover {
187 |             text-decoration: underline;
188 |         }
189 |         /* Styles for back to TOC link */
190 |         .back-to-toc {
191 |             text-align: right;
192 |             font-size: 0.85em;
193 |             margin-top: 1rem;
194 |         }
195 |         .back-to-toc a {
196 |             color: #0366d6;
197 |             text-decoration: none;
198 |         }
199 |         .back-to-toc a:hover {
200 |             text-decoration: underline;
201 |         }
202 |     </style>
203 | 
204 |     <!-- Schema.org markup for Google -->
205 |     <script type="application/ld+json">
206 |     {
207 |         "@context": "https://schema.org",
208 |         "@type": "WebPage",
209 |         "name": "{{ .Config.Project.Name }}",
210 |         "description": "{{ .Config.Project.Description }}",
211 |         "publisher": {
212 |             "@type": "Organization",
213 |             "name": "{{ .Config.Project.Website.Author }}"
214 |         },
215 |         "license": "https://creativecommons.org/publicdomain/zero/1.0/",
216 |         "about": {
217 |             "@type": "ItemList",
218 |             "itemListElement": [
219 |                 {
220 |                     "@type": "ListItem",
221 |                     "position": 1,
222 |                     "name": "Sharing contextual information with language models"
223 |                 },
224 |                 {
225 |                     "@type": "ListItem",
226 |                     "position": 2,
227 |                     "name": "Exposing tools and capabilities to AI systems"
228 |                 },
229 |                 {
230 |                     "@type": "ListItem",
231 |                     "position": 3,
232 |                     "name": "Building composable integrations and workflows"
233 |                 }
234 |             ]
235 |         }
236 |     }
237 |     </script>
238 | </head>
239 | <body>
240 |     <div class="container">
241 |         <header role="banner">
242 |             <h1 id="awesome-ai-agents">{{ .Config.Project.Name }}</h1>
243 |             <nav class="main-menu">
244 |                 <ul>
245 |                     <li><a href="https://github.com/{{ .Config.Project.Repository }}">GitHub</a></li>
246 |                 </ul>
247 |             </nav>
248 |             <div class="note" role="note" aria-label="Important note about this repository">
249 |                 <strong>Note:</strong> {{ .Config.Project.Note }}
250 |             </div>
251 |             <div>
252 |                 {{ .Config.Project.Description | safeHTML }}
253 |             </div>
254 |         </header>
255 | 
256 |         <nav role="navigation" aria-labelledby="toc-heading">
257 |             <h2 id="toc-heading">Table of Contents</h2>
258 |             {{- define "CategoryTOC" -}}
259 |             <ul>
260 |             {{- range . }}
261 |                 <li style="margin-left: {{ mul .Depth 15 }}px;">
262 |                     <a href="#{{ .Title | lower | replace " " "-" }}" aria-label="Go to {{ .Title }} section">{{ .Title }}</a> {{ if .Items -}}<span aria-label="{{ len .Items }} items">({{ len .Items }})</span>{{- end }}
263 |                     {{ if .Categories -}}
264 |                     {{ template "CategoryTOC" .Categories }}
265 |                     {{- end -}}
266 |                 </li>
267 |             {{ end -}}
268 |             </ul>
269 |             {{- end -}}
270 |             {{ template "CategoryTOC" .Categories }}
271 |         </nav>
272 | 
273 |         <main role="main">
274 |             {{- define "CategoryView" -}}
275 |             {{- range . }}
276 |             <section aria-labelledby="{{ .Title | lower | replace " " "-" }}">
277 |                 {{- $headingLevel := add 2 .Depth -}}
278 |                 {{- if gt $headingLevel 6 -}}
279 |                     {{- $headingLevel = 6 -}}
280 |                 {{- end -}}
281 |                 <h{{ $headingLevel }} id="{{ .Title | lower | replace " " "-" }}">{{ .Title }}</h{{ $headingLevel }}>
282 |                 {{ if .Items -}}
283 |                 <ul aria-label="List of {{ .Title }} items">
284 |                 {{- range .Items }}
285 |                     <li>
286 |                         <a href="{{ .Link }}" aria-label="{{ .Name }} - {{ .Stars }} stars, {{ .Language }}" target="_blank" rel="noopener">{{ .Name }}</a>
287 |                         <span class="stars" aria-hidden="true">⭐ {{ .Stars }}</span>
288 |                         <span class="language" aria-hidden="true">{{ .Language }}</span> -
289 |                         <span>{{ .Summary }}</span>
290 |                     </li>
291 |                 {{- end }}
292 |                 </ul>
293 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
294 |                 {{- end }}
295 |                 {{ if .Categories -}}
296 |                 {{ template "CategoryView" .Categories }}
297 |                 {{- end -}}
298 |             </section>
299 |             {{ end -}}
300 |             {{- end -}}
301 |             {{ template "CategoryView" .Categories }}
302 |         </main>
303 | 
304 |         <footer role="contentinfo">
305 |             <div class="license">
306 |                 <h2 id="license">License</h2>
307 |                 <a href="https://creativecommons.org/publicdomain/zero/1.0/" aria-label="Creative Commons Zero License">
308 |                     <img src="https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg" alt="CC0 License" width="88" height="31" loading="lazy">
309 |                 </a>
310 |             </div>
311 |         </footer>
312 |     </div>
313 | </body>
314 | </html>


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/README.md:
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  1 | # Awesome ClickHouse
  2 | 
  3 | > **Note:** This repository contains an automatically compiled list of frameworks, tools, and resources related to ClickHouse.
  4 | 
  5 | A curated list of awesome ClickHouse and ClickHouse-related software.
  6 | 
  7 | 
  8 | Table of Contents:
  9 | - [Language bindings](#language-bindings) 
 10 |     - [C/C++](#c/c++) (5)
 11 | 
 12 |     - [Elixir](#elixir) (1)
 13 | 
 14 |     - [JavaScript/Typescript](#javascript/typescript) (5)
 15 | 
 16 |     - [Golang](#golang) (13)
 17 | 
 18 |     - [Java](#java) (7)
 19 | 
 20 |     - [.Net](#.net) (3)
 21 | 
 22 |     - [ODBC](#odbc) (1)
 23 | 
 24 |     - [PHP](#php) (4)
 25 | 
 26 |     - [Python](#python) (15)
 27 | 
 28 |     - [Ruby](#ruby) (2)
 29 | 
 30 |     - [Rust](#rust) (6)
 31 | 
 32 |     - [Scala](#scala) (3)
 33 | 
 34 |     - [Other sdk/libraries](#other-sdk/libraries) (2)
 35 | 
 36 | 
 37 | - [UIs](#uis) 
 38 |     - [GUI](#gui) (16)
 39 | 
 40 |     - [CLI](#cli) (6)
 41 | 
 42 |     - [CHUI(Chat-based User Interface) or CHUBACA(Chat-Based Client:)](#chui(chat-based-user-interface)-or-chubaca(chat-based-client:)) (5)
 43 | 
 44 | 
 45 | - [Integrations](#integrations) 
 46 |     - [Data Transfer and Synchronization](#data-transfer-and-synchronization) (12)
 47 | 
 48 |     - [Metrics and Monitoring](#metrics-and-monitoring) (17)
 49 | 
 50 |     - [Deployment and Management Tools](#deployment-and-management-tools) (4)
 51 | 
 52 |     - [Data Visualization and Analysis](#data-visualization-and-analysis) (14)
 53 | 
 54 |     - [ETL and Data Processing](#etl-and-data-processing) (19)
 55 | 
 56 | 
 57 | - [Ops](#ops) (4)
 58 | 
 59 | - [Documentation](#documentation) (5)
 60 | 
 61 | - [Examples](#examples) (2)
 62 | 
 63 | 
 64 | 
 65 | 
 66 | ## Language bindings
 67 | 
 68 | 
 69 | ### C/C++
 70 | 
 71 | - [ClickHouse/ai-sdk-cpp](https://github.com/ClickHouse/ai-sdk-cpp) (★122 C++) - AI SDK CPP is a modern C++ toolkit from ClickHouse engineers that provides a unified API to build AI-powered applications using models from OpenAI, Anthropic, and other providers.
 72 | - [ClickHouse/clickhouse-cpp](https://github.com/ClickHouse/clickhouse-cpp) (★354 C) - clickhouse-cpp is a C++ client library for ClickHouse that supports a wide range of data types and features including asynchronous inserts and retry logic.
 73 | - [RoaringBitmap/CRoaring](https://github.com/RoaringBitmap/CRoaring) (★1735 C) - CRoaring is a high-performance C/C++ library for Roaring bitmaps with SIMD optimizations, widely used in big data systems including ClickHouse for efficient compressed bitmap operations.
 74 | - [ada-url/ada](https://github.com/ada-url/ada) (★1651 C++) - Ada is a fast, WHATWG-compliant URL parser written in modern C++ and used by major systems including Clickhouse, Node.js, and Cloudflare Workers.
 75 | - [simdjson/simdjson](https://github.com/simdjson/simdjson) (★22928 C++) - simdjson is a high-performance JSON parsing library that uses SIMD instructions to parse gigabytes of JSON data per second, widely used in projects including ClickHouse.
 76 | 
 77 | 
 78 | ### Elixir
 79 | 
 80 | - [plausible/ecto_ch](https://github.com/plausible/ecto_ch) (★112 Elixir) - ecto_ch is an Elixir Ecto adapter that enables integration with the ClickHouse database, supporting ClickHouse-specific features and data types for efficient analytics applications.
 81 | 
 82 | 
 83 | ### JavaScript/Typescript
 84 | 
 85 | - [514-labs/moose](https://github.com/514-labs/moose) (★280 Rust) - Moose is an open-source developer framework for building scalable analytical backends on Clickhouse, Redpanda, and other high-performance data infrastructures using TypeScript or Python.
 86 | - [Canner/vulcan-sql](https://github.com/Canner/vulcan-sql) (★780 TypeScript) - VulcanSQL is an Analytical Data API Framework that simplifies and accelerates the creation of secure, scalable RESTful APIs from databases and data warehouses for AI agents and data applications.
 87 | - [ClickHouse/clickhouse-js](https://github.com/ClickHouse/clickhouse-js) (★281 TypeScript) - Official JavaScript client for ClickHouse database providing streaming support and compatibility across Node.js and web environments.
 88 | - [TimonKK/clickhouse](https://github.com/TimonKK/clickhouse) (★224 JavaScript) - A NodeJS client for ClickHouse enabling query execution, streaming, session management, and data insertion over HTTP interface.
 89 | - [apla/node-clickhouse](https://github.com/apla/node-clickhouse) (★218 JavaScript) - A Node.js driver providing a simple and powerful interface to interact with the ClickHouse database, supporting efficient query execution and bulk data loading.
 90 | 
 91 | 
 92 | ### Golang
 93 | 
 94 | - [AfterShip/clickhouse-sql-parser](https://github.com/AfterShip/clickhouse-sql-parser) (★219 Go) - AfterShip/clickhouse-sql-parser is a Go-based SQL parser designed to parse and beautify ClickHouse SQL queries by converting them into an Abstract Syntax Tree (AST) and back, available as both a library and CLI tool.
 95 | - [ClickHouse/ch-go](https://github.com/ClickHouse/ch-go) (★402 Go) - ch-go is a low-level Go client for ClickHouse designed for high-performance data block streaming with minimal overhead and direct protocol implementation.
 96 | - [ClickHouse/clickhouse-go](https://github.com/ClickHouse/clickhouse-go) (★3213 Go) - clickhouse-go is a Golang SQL database client providing a native and database/sql interface for efficient and feature-rich interaction with ClickHouse.
 97 | - [ContentSquare/chproxy](https://github.com/ContentSquare/chproxy) (★1421 Go) - Chproxy is an open-source HTTP proxy and load balancer designed to optimize and manage HTTP traffic for the ClickHouse database, enhancing scalability and fault tolerance.
 98 | - [chdb-io/chdb-go](https://github.com/chdb-io/chdb-go) (★127 Go) - chdb-go provides Go bindings and a CLI for chDB, an in-process SQL OLAP engine powered by ClickHouse, enabling SQL query execution and database management within Go applications.
 99 | - [korchasa/awesome-clickhouse](https://github.com/korchasa/awesome-clickhouse) (★172 HTML) - A curated repository compiling an extensive list of software, tools, and resources related to ClickHouse to support developers and data engineers in working with the ClickHouse database.
100 | - [mailru/go-clickhouse](https://github.com/mailru/go-clickhouse) (★435 Go) - A Golang SQL database driver for Yandex ClickHouse using the official HTTP interface, supporting extensive ClickHouse features and integration with tracing tools.
101 | - [roistat/go-clickhouse](https://github.com/roistat/go-clickhouse) (★190 Go) - A Golang connector for Yandex ClickHouse enabling efficient querying, data insertion, and cluster management for large-scale data processing.
102 | - [runreveal/pql](https://github.com/runreveal/pql) (★685 Go) - pql is a Go library and CLI tool that compiles a pipelined query language inspired by Kusto Query Language into SQL, with specific compatibility for the Clickhouse SQL dialect but designed to be database agnostic.
103 | - [trickstercache/trickster](https://github.com/trickstercache/trickster) (★2061 Go) - Trickster is an open-source HTTP reverse proxy cache and time series dashboard accelerator that improves performance and scalability for time series databases including ClickHouse, Prometheus, and InfluxDB.
104 | - [uptrace/go-clickhouse](https://github.com/uptrace/go-clickhouse) (★282 Go) - A high-performance Go client library for ClickHouse using its native protocol, supporting modern Go features and efficient database operations.
105 | - [vahid-sohrabloo/chconn](https://github.com/vahid-sohrabloo/chconn) (★159 Go) - chconn is a high-performance, low-level Go driver for ClickHouse that supports all ClickHouse data types, batch operations, TLS, and compression protocols, optimized for speed and efficiency.
106 | - [zerodha/dungbeetle](https://github.com/zerodha/dungbeetle) (★1050 Go) - DungBeetle is a distributed job server for asynchronously queuing and executing heavy SQL read jobs on MySQL, PostgreSQL, and ClickHouse databases, designed to offload report generation and improve application performance.
107 | 
108 | 
109 | ### Java
110 | 
111 | - [Blynk-Technologies/clickhouse4j](https://github.com/Blynk-Technologies/clickhouse4j) (★216 Java) - clickhouse4j is a lightweight and faster alternative to the official ClickHouse JDBC driver, offering reduced dependencies, smaller size, and enhanced performance for Java applications.
112 | - [ClickHouse/clickhouse-java](https://github.com/ClickHouse/clickhouse-java) (★1580 Java) - ClickHouse/clickhouse-java is a repository providing Java clients and a JDBC driver for efficient interaction with the ClickHouse database, supporting modern features and compatibility with active ClickHouse versions.
113 | - [ClickHouse/clickhouse-jdbc-bridge](https://github.com/ClickHouse/clickhouse-jdbc-bridge) (★173 Java) - ClickHouse JDBC Bridge is an experimental JDBC proxy that enables real-time distributed querying from ClickHouse to external databases, simplifying data integration and pipeline construction.
114 | - [ClickHouse/metabase-clickhouse-driver](https://github.com/ClickHouse/metabase-clickhouse-driver) (★511 Clojure) - A ClickHouse database driver enabling integration with the Metabase business intelligence front-end for data visualization and querying.
115 | - [housepower/ClickHouse-Native-JDBC](https://github.com/housepower/ClickHouse-Native-JDBC) (★541 Java) - ClickHouse Native JDBC is a high-performance native protocol JDBC driver for accessing ClickHouse databases in Java and integrating with Apache Spark.
116 | - [itinycheng/flink-connector-clickhouse](https://github.com/itinycheng/flink-connector-clickhouse) (★410 Java) - A Flink SQL connector enabling efficient integration with ClickHouse for reading and writing data, supporting advanced features like partitioning, sharding, and caching.
117 | - [ivi-ru/flink-clickhouse-sink](https://github.com/ivi-ru/flink-clickhouse-sink) (★384 Java) - A high-performance Apache Flink sink connector for efficiently loading streaming data into the ClickHouse database using asynchronous HTTP requests.
118 | 
119 | 
120 | ### .Net
121 | 
122 | - [DarkWanderer/ClickHouse.Client](https://github.com/DarkWanderer/ClickHouse.Client) (★363 C#) - .NET client library for ClickHouse providing high-throughput, broad type support, and ADO.NET compliance for efficient big data processing.
123 | - [DotNetNext/SqlSugar](https://github.com/DotNetNext/SqlSugar) (★5737 C#) - SqlSugar is a high-performance, easy-to-use .NET ORM framework supporting multiple databases including ClickHouse, designed for big data and SaaS applications.
124 | - [Octonica/ClickHouseClient](https://github.com/Octonica/ClickHouseClient) (★158 C#) - Octonica/ClickHouseClient is a .NET Core ADO.NET driver providing efficient and comprehensive support for interacting with ClickHouse databases, including async operations and bulk data manipulation.
125 | 
126 | 
127 | ### ODBC
128 | 
129 | - [ClickHouse/clickhouse-odbc](https://github.com/ClickHouse/clickhouse-odbc) (★276 C) - Official ODBC driver for ClickHouse enabling cross-platform database connectivity through standard ODBC interfaces.
130 | 
131 | 
132 | ### PHP
133 | 
134 | - [FriendsOfDoctrine/dbal-clickhouse](https://github.com/FriendsOfDoctrine/dbal-clickhouse) (★108 PHP) - Doctrine DBAL driver for ClickHouse database enabling seamless integration with Symfony and other frameworks using Doctrine, supporting advanced database operations and custom types.
135 | - [cybercog/laravel-clickhouse](https://github.com/cybercog/laravel-clickhouse) (★135 PHP) - Laravel ClickHouse is a package that integrates ClickHouse database client and migration support into Laravel applications, enabling efficient management of ClickHouse databases within the Laravel framework.
136 | - [smi2/phpClickHouse](https://github.com/smi2/phpClickHouse) (★816 PHP) - A PHP wrapper for ClickHouse providing asynchronous queries, bulk inserts, cluster management, and performance optimizations for efficient database interaction.
137 | - [the-tinderbox/ClickhouseBuilder](https://github.com/the-tinderbox/ClickhouseBuilder) (★197 PHP) - ClickhouseBuilder is a PHP fluent query builder designed to simplify the construction and execution of complex SQL queries for Clickhouse databases, with integration support for Laravel and Lumen frameworks.
138 | 
139 | 
140 | ### Python
141 | 
142 | - [514-labs/moosestack](https://github.com/514-labs/moosestack) (★502 Rust) - MooseStack is a developer framework for building real-time analytical backends using ClickHouse, Redpanda, Temporal, and Redis with a code-first, modular approach in TypeScript and Python.
143 | - [ClickHouse/clickhouse-connect](https://github.com/ClickHouse/clickhouse-connect) (★448 Python) - ClickHouse Connect is a high-performance Python driver that enables seamless integration of ClickHouse with Python data tools like Pandas, SQLAlchemy, and Apache Superset for efficient data access and visualization.
144 | - [ClickHouse/dbt-clickhouse](https://github.com/ClickHouse/dbt-clickhouse) (★318 Python) - dbt-clickhouse is a plugin that integrates dbt functionality with ClickHouse, enabling advanced data transformation, modeling, and testing capabilities on ClickHouse databases.
145 | - [Infinidat/infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm) (★426 Python) - infi.clickhouse_orm is a Python ORM library that simplifies working with the ClickHouse database by enabling easy model definition, data insertion, and querying.
146 | - [bryzgaloff/airflow-clickhouse-plugin](https://github.com/bryzgaloff/airflow-clickhouse-plugin) (★170 Python) - Airflow ClickHouse Plugin is a top-ranked Apache Airflow plugin that integrates ClickHouse database functionality into Airflow workflows, providing versatile operators for efficient SQL execution and pipeline management.
147 | - [carrotquest/django-clickhouse](https://github.com/carrotquest/django-clickhouse) (★106 Python) - django-clickhouse integrates the Yandex ClickHouse database into Django projects, enabling high-performance analytical queries and real-time data processing within Django applications.
148 | - [chdb-io/chdb](https://github.com/chdb-io/chdb) (★2549 C++) - chDB is an in-process OLAP SQL engine powered by ClickHouse that enables efficient analytical queries on various data formats directly within Python environments.
149 | - [cloudflare/sqlalchemy-clickhouse](https://github.com/cloudflare/sqlalchemy-clickhouse) (★325 Python) - sqlalchemy-clickhouse is a SQLAlchemy dialect that enables seamless integration with the ClickHouse database for efficient data querying and manipulation.
150 | - [jayvynl/django-clickhouse-backend](https://github.com/jayvynl/django-clickhouse-backend) (★180 Python) - Django-clickhouse-backend is a Django database backend that enables seamless interaction with ClickHouse using Django ORM, supporting ClickHouse-specific features and efficient connection pooling.
151 | - [kszucs/pandahouse](https://github.com/kszucs/pandahouse) (★240 Python) - Pandahouse is a Python library providing a Pandas interface to interact with ClickHouse databases via HTTP API for efficient data reading and writing.
152 | - [long2ice/asynch](https://github.com/long2ice/asynch) (★227 Python) - An asynchronous Python driver for ClickHouse with native TCP interface support, enabling efficient database interactions using asyncio.
153 | - [maximdanilchenko/aiochclient](https://github.com/maximdanilchenko/aiochclient) (★259 Python) - aiochclient is a lightweight asynchronous HTTP client for Python that provides efficient and type-safe interaction with ClickHouse databases, supporting streaming, lazy decoding, and high performance through optional speedups.
154 | - [mymarilyn/aioch](https://github.com/mymarilyn/aioch) (★168 Python) - aioch is an asynchronous Python library that provides native interface access to ClickHouse databases using asyncio, enabling efficient and non-blocking query execution with progress tracking.
155 | - [mymarilyn/clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) (★1290 Python) - A Python driver providing native TCP interface support for efficient and secure interaction with ClickHouse databases, featuring extensive data type support and compliance with Python DB API 2.0.
156 | - [xzkostyan/clickhouse-sqlalchemy](https://github.com/xzkostyan/clickhouse-sqlalchemy) (★479 Python) - Clickhouse-sqlalchemy is a SQLAlchemy dialect that enables seamless interaction with ClickHouse databases, supporting multiple connection interfaces and providing ORM capabilities for efficient data analytics.
157 | 
158 | 
159 | ### Ruby
160 | 
161 | - [PNixx/clickhouse-activerecord](https://github.com/PNixx/clickhouse-activerecord) (★238 Ruby) - A Ruby ActiveRecord driver enabling seamless integration and management of ClickHouse databases within Ruby on Rails applications.
162 | - [shlima/click_house](https://github.com/shlima/click_house) (★192 Ruby) - A modern Ruby database driver providing a comprehensive and efficient interface to interact with ClickHouse databases via the HTTP protocol.
163 | 
164 | 
165 | ### Rust
166 | 
167 | - [ClickHouse/clickhouse-rs](https://github.com/ClickHouse/clickhouse-rs) (★479 Rust) - clickhouse-rs is the official pure Rust typed client for ClickHouse DB, providing efficient, secure, and feature-rich database interaction capabilities.
168 | - [Protryon/klickhouse](https://github.com/Protryon/klickhouse) (★118 Rust) - Klickhouse is a high-performance Rust SDK for accessing Clickhouse databases asynchronously with minimal boilerplate and extensive feature support.
169 | - [langdb/ai-gateway](https://github.com/langdb/ai-gateway) (★692 Rust) - LangDB AI Gateway is an open-source enterprise AI gateway built in Rust that provides a unified interface to multiple LLMs using the OpenAI API format, focusing on performance, reliability, and enterprise-grade features including cost control, routing, and data security.
170 | - [quarylabs/sqruff](https://github.com/quarylabs/sqruff) (★1141 Rust) - sqruff is a fast and customizable SQL formatter and linter supporting multiple SQL dialects including Clickhouse, designed to ensure SQL code quality and consistency across development workflows.
171 | - [subzerocloud/showcase](https://github.com/subzerocloud/showcase) (★162 TypeScript) - subZero is a Rust-based library with JS/TS bindings that enables customizable, PostgREST-compatible REST APIs on multiple databases including ClickHouse, supporting advanced queries and authentication out of the box.
172 | - [suharev7/clickhouse-rs](https://github.com/suharev7/clickhouse-rs) (★342 Rust) - An asynchronous Rust client library for efficient and feature-rich interaction with Yandex ClickHouse databases.
173 | 
174 | 
175 | ### Scala
176 | 
177 | - [ClickHouse/spark-clickhouse-connector](https://github.com/ClickHouse/spark-clickhouse-connector) (★210 Scala) - Spark ClickHouse Connector is a project that integrates Apache Spark with ClickHouse using the DataSourceV2 API to enable efficient data processing and analytics.
178 | - [apache/incubator-gluten](https://github.com/apache/incubator-gluten) (★1488 Scala) - Apache Gluten is an incubating project that accelerates JVM-based SQL engines like Spark SQL by offloading compute-intensive tasks to native engines such as ClickHouse and Velox, enhancing performance while maintaining Spark's scalability and API compatibility.
179 | - [crobox/clickhouse-scala-client](https://github.com/crobox/clickhouse-scala-client) (★119 Scala) - A reactive Scala client for Clickhouse database providing streaming query execution, load balancing, health checks, and cluster-aware connection support.
180 | 
181 | 
182 | ### Other sdk/libraries
183 | 
184 | - [Percona-Lab/clickhousedb_fdw](https://github.com/Percona-Lab/clickhousedb_fdw) (★206 C) - clickhousedb_fdw is an open-source Foreign Data Wrapper that enables seamless querying and data manipulation between PostgreSQL and the high-performance ClickHouse column-store database.
185 | - [ildus/clickhouse_fdw](https://github.com/ildus/clickhouse_fdw) (★274 C++) - clickhouse_fdw is an open-source Foreign Data Wrapper that enables seamless integration and querying of ClickHouse column-oriented database data within PostgreSQL.
186 | 
187 | 
188 | 
189 | ## UIs
190 | 
191 | 
192 | ### GUI
193 | 
194 | - [ClickHouse/click-ui](https://github.com/ClickHouse/click-ui) (★110 TypeScript) - Click UI is the early-stage design system and component library for building ClickHouse-themed user interfaces with support for popular frameworks and theming.
195 | - [CodePhiliaX/Chat2DB](https://github.com/CodePhiliaX/Chat2DB) (★24824 Java) - Chat2DB is an AI-driven, intelligent, and versatile SQL client and database management tool supporting multiple databases including ClickHouse, designed to enhance SQL development and data reporting with integrated AI capabilities.
196 | - [DataPupOrg/DataPup](https://github.com/DataPupOrg/DataPup) (★281 TypeScript) - DataPup is a modern, AI-assisted, cross-platform database client with full support for ClickHouse and plans to support other major databases, designed to make database management intuitive and enjoyable.
197 | - [DataflareApp/Dataflare](https://github.com/DataflareApp/Dataflare) (★223 ) - Dataflare is a simple, easy-to-use database manager supporting multiple databases including ClickHouse, designed for efficient database connection, management, and querying.
198 | - [HouseOps/HouseOps](https://github.com/HouseOps/HouseOps) (★341 JavaScript) - HouseOps is an enterprise ClickHouse client that provides a graphical interface for querying, monitoring, and managing ClickHouse database clusters.
199 | - [agnosticeng/agx](https://github.com/agnosticeng/agx) (★173 Svelte) - agx is an AI-powered integrated analytics desktop application that enables interactive data exploration and querying using ClickHouse's embedded database or a remote ClickHouse server.
200 | - [caioricciuti/ch-ui](https://github.com/caioricciuti/ch-ui) (★545 TypeScript) - CH-UI is a modern, feature-rich web interface designed for seamless management, querying, and visualization of ClickHouse databases with advanced SQL editing and performance monitoring capabilities.
201 | - [dbgate/dbgate](https://github.com/dbgate/dbgate) (★6596 Svelte) - DbGate is a cross-platform, open-source database management tool supporting multiple databases including ClickHouse, offering advanced features like visual query design, schema comparison, and data visualization.
202 | - [devlive-community/dbm](https://github.com/devlive-community/dbm) (★406 TypeScript) - DBM is an open-source, full-platform database management tool supporting multiple SQL-speaking databases including ClickHouse, offering comprehensive features for query, table, column, and database management along with monitoring and data migration capabilities.
203 | - [flant/loghouse](https://github.com/flant/loghouse) (★930 Ruby) - Loghouse is an open-source log management solution for Kubernetes that uses ClickHouse for efficient log storage and provides a web UI for querying and monitoring logs.
204 | - [frectonz/sql-studio](https://github.com/frectonz/sql-studio) (★3371 Rust) - SQL Studio is a single binary SQL database explorer supporting multiple databases including SQLite, PostgreSQL, MySQL, ClickHouse, and Microsoft SQL Server, offering rich features like metadata overview, query execution with IntelliSense, and infinite scrolling.
205 | - [l1xnan/duckling](https://github.com/l1xnan/duckling) (★514 TypeScript) - Duckling is a lightweight desktop application built with Tauri for fast browsing of CSV/Parquet files and various databases including Clickhouse.
206 | - [metrico/clickhouse-mate](https://github.com/metrico/clickhouse-mate) (★102 TypeScript) - ClickHouse-Mate is an advanced web-based user interface and client for efficiently managing and querying ClickHouse databases with features like SQL autocompletion, fast navigation, and inline documentation.
207 | - [smi2/clickhouse-frontend](https://github.com/smi2/clickhouse-frontend) (★162 JavaScript) - This repository is the deprecated frontend project TABIX for ClickHouse, now replaced by the updated tabix.ui repository.
208 | - [tabixio/tabix](https://github.com/tabixio/tabix) (★2262 TypeScript) - Tabix.io UI is an open-source business intelligence and SQL editor tool designed for efficient interaction with ClickHouse databases.
209 | - [timestored/qstudio](https://github.com/timestored/qstudio) (★1006 Java) - qStudio is a free, cross-platform SQL client and notebook that supports numerous databases including ClickHouse, offering features like query execution, data visualization, and AI-powered SQL assistance.
210 | 
211 | 
212 | ### CLI
213 | 
214 | - [ClickHouse/JSONBench](https://github.com/ClickHouse/JSONBench) (★160 Shell) - JSONBench is a benchmarking project that evaluates and compares the native JSON support of popular analytical databases including ClickHouse using a large real-world dataset of Bluesky events.
215 | - [Slach/clickhouse-flamegraph](https://github.com/Slach/clickhouse-flamegraph) (★212 Go) - clickhouse-flamegraph is a command-line utility for visualizing ClickHouse system.trace_log data as flamegraphs to analyze query performance and resource usage.
216 | - [amacneil/dbmate](https://github.com/amacneil/dbmate) (★6566 Go) - Dbmate is a lightweight, framework-agnostic database migration tool that supports multiple databases including ClickHouse, enabling consistent schema management across diverse development environments.
217 | - [azat/chdig](https://github.com/azat/chdig) (★258 Rust) - Chdig is a terminal user interface tool designed to provide interactive introspection, monitoring, and debugging capabilities for ClickHouse database systems.
218 | - [hatarist/clickhouse-cli](https://github.com/hatarist/clickhouse-cli) (★262 Python) - An unofficial command-line client for the ClickHouse DBMS server offering enhanced features like autocompletion, syntax highlighting, multiquery support, and user-defined functions over HTTP.
219 | - [sqitchers/sqitch](https://github.com/sqitchers/sqitch) (★3081 Perl) - Sqitch is a versatile and framework-agnostic database change management tool supporting multiple database engines including ClickHouse, emphasizing native scripting, dependency resolution, and deployment integrity.
220 | 
221 | 
222 | ### CHUI(Chat-based User Interface) or CHUBACA(Chat-Based Client:)
223 | 
224 | - [centralmind/gateway](https://github.com/centralmind/gateway) (★503 Go) - CentralMind Gateway is a universal MCP-Server that automatically generates secure, LLM-optimized APIs for multiple structured databases including ClickHouse, enabling AI agents to access data efficiently and compliantly.
225 | - [clidey/whodb](https://github.com/clidey/whodb) (★4375 TypeScript) - WhoDB is a lightweight, high-performance database management tool supporting multiple databases including Clickhouse, featuring a natural language chat interface for intuitive data interaction.
226 | - [googleapis/genai-toolbox](https://github.com/googleapis/genai-toolbox) (★11779 Go) - MCP Toolbox for Databases is an open-source MCP server that simplifies and secures the development of AI-powered database tools by handling backend complexities and enabling natural language interaction with databases.
227 | - [sqlchat/sqlchat](https://github.com/sqlchat/sqlchat) (★5554 TypeScript) - SQL Chat is a chat-based SQL client that uses natural language to interact with databases, supporting multiple database types and offering both hosted and self-hosted options for intuitive database management.
228 | - [wannabespace/conar](https://github.com/wannabespace/conar) (★1125 TypeScript) - Conar is an AI-powered open-source tool that simplifies and secures interactions with multiple databases including PostgreSQL, MySQL, MSSQL, and Clickhouse by providing intelligent SQL query assistance and optimization.
229 | 
230 | 
231 | 
232 | ## Integrations
233 | 
234 | 
235 | ### Data Transfer and Synchronization
236 | 
237 | - [Altinity/clickhouse-sink-connector](https://github.com/Altinity/clickhouse-sink-connector) (★296 Python) - Altinity Sink Connector is a scalable tool for replicating data from MySQL, PostgreSQL, and MongoDB to ClickHouse for efficient analytical processing.
238 | - [ClickHouse/clickhouse-kafka-connect](https://github.com/ClickHouse/clickhouse-kafka-connect) (★191 Java) - ClickHouse Kafka Connect Sink is the official Kafka Connect sink connector that enables efficient and reliable data transfer from Kafka topics to ClickHouse tables with exactly-once delivery semantics.
239 | - [QuesmaOrg/quesma](https://github.com/QuesmaOrg/quesma) (★173 Go) - Quesma is a programmable database gateway that enables seamless query translation and migration between modern database platforms, currently supporting integration of Kibana/OpenSearch Dashboards with Clickhouse.
240 | - [apecloud/ape-dts](https://github.com/apecloud/ape-dts) (★537 Rust) - Ape Data Transfer Suite (ape-dts) is a high-performance, lightweight data migration and replication tool supporting ultra-fast transfers between MySQL, PostgreSQL, Redis, MongoDB, Kafka, and ClickHouse, ideal for disaster recovery and migration scenarios.
241 | - [getdozer/dozer](https://github.com/getdozer/dozer) (★1572 Rust) - Dozer is a high-performance real-time data movement tool leveraging CDC to transfer and transform data efficiently into multiple sinks including Clickhouse.
242 | - [housepower/clickhouse_sinker](https://github.com/housepower/clickhouse_sinker) (★533 Go) - clickhouse_sinker is a sinker program that efficiently transfers Kafka messages into ClickHouse for real-time data analytics and storage.
243 | - [jitsucom/jitsu](https://github.com/jitsucom/jitsu) (★4598 TypeScript) - Jitsu is an open-source, self-hosted data ingestion platform that enables real-time event data collection and streaming to data warehouses, including ClickHouse, as an alternative to Segment.
244 | - [long2ice/synch](https://github.com/long2ice/synch) (★354 Python) - Synch is a data synchronization tool that enables full and incremental ETL from PostgreSQL and MySQL databases to ClickHouse, supporting real-time data integration and multiple broker options.
245 | - [mintance/nginx-clickhouse](https://github.com/mintance/nginx-clickhouse) (★157 Go) - nginx-clickhouse is a tool that parses NGINX logs and transports them into a ClickHouse database for efficient storage and analysis.
246 | - [nikepan/clickhouse-bulk](https://github.com/nikepan/clickhouse-bulk) (★504 Go) - ClickHouse-Bulk is a tool that collects many small insert requests and sends them as larger bulk inserts to Yandex ClickHouse servers to improve data ingestion efficiency.
247 | - [uber/storagetapper](https://github.com/uber/storagetapper) (★363 Go) - StorageTapper is a scalable real-time MySQL change data streaming, logical backup, and replication service supporting multiple data destinations including experimental Clickhouse integration.
248 | - [zeromicro/cds](https://github.com/zeromicro/cds) (★980 Go) - Zeromicro/cds is a Go-based tool for real-time data synchronization from MySQL and MongoDB to ClickHouse, supporting both full and incremental sync with a user-friendly web interface.
249 | 
250 | 
251 | ### Metrics and Monitoring
252 | 
253 | - [ClickHouse/clickhouse_exporter](https://github.com/ClickHouse/clickhouse_exporter) (★396 Go) - ClickHouse Exporter for Prometheus is a server that scrapes metrics from older ClickHouse versions and exports them via HTTP for Prometheus monitoring.
254 | - [ClickHouse/graphouse](https://github.com/ClickHouse/graphouse) (★259 Java) - Graphouse enables the use of ClickHouse as a high-performance storage backend for Graphite metrics, providing TCP and HTTP APIs for metric ingestion, search, and management.
255 | - [ClickHouse/kubenetmon](https://github.com/ClickHouse/kubenetmon) (★160 Go) - kubenetmon is an open source Kubernetes network metering solution by ClickHouse that collects and analyzes network traffic data across major cloud providers using ClickHouse as the backend analytics engine.
256 | - [Percona-Lab/PromHouse](https://github.com/Percona-Lab/PromHouse) (★262 Go) - PromHouse is a long-term remote storage solution for Prometheus 2.x metrics built on ClickHouse, featuring clustering and downsampling capabilities for efficient time series data management.
257 | - [Swetrix/swetrix](https://github.com/Swetrix/swetrix) (★781 TypeScript) - Swetrix is an open source, privacy-focused, cookie-less web analytics platform that uses Clickhouse for efficient statistical data management and offers self-hosting or cloud deployment options.
258 | - [burningalchemist/sql_exporter](https://github.com/burningalchemist/sql_exporter) (★488 Go) - SQL Exporter for Prometheus is a configuration-driven tool that collects and exposes metrics from various databases, including Clickhouse, for monitoring with Prometheus.
259 | - [go-graphite/carbon-clickhouse](https://github.com/go-graphite/carbon-clickhouse) (★196 Go) - carbon-clickhouse is a Graphite metrics receiver that uses ClickHouse as a high-performance storage backend, supporting multiple ingestion protocols and flexible configuration for efficient metrics management.
260 | - [go-graphite/graphite-clickhouse](https://github.com/go-graphite/graphite-clickhouse) (★223 Go) - Graphite-clickhouse is a backend solution that integrates Graphite clusters with ClickHouse to enhance time-series data storage and query performance.
261 | - [hyperdxio/hyperdx](https://github.com/hyperdxio/hyperdx) (★9155 TypeScript) - HyperDX is an open source observability platform powered by Clickhouse and OpenTelemetry that centralizes and correlates logs, metrics, traces, errors, and session replays to help engineers quickly resolve production issues.
262 | - [jaegertracing/jaeger-clickhouse](https://github.com/jaegertracing/jaeger-clickhouse) (★269 Go) - Jaeger ClickHouse is an experimental gRPC storage plugin that integrates Jaeger distributed tracing with ClickHouse for efficient trace data storage and querying.
263 | - [justwatchcom/sql_exporter](https://github.com/justwatchcom/sql_exporter) (★482 Go) - A flexible SQL Exporter for Prometheus that runs user-defined SQL queries on multiple databases including ClickHouse and exports the results as metrics for monitoring.
264 | - [metrico/gigapipe](https://github.com/metrico/gigapipe) (★1609 Go) - Gigapipe is a lightweight, polyglot observability stack that supports logs, metrics, traces, and profiling with compatibility for Loki, Prometheus, Tempo, Pyroscope, and OpenTelemetry, powered by ClickHouse and Bun for efficient data ingestion and querying.
265 | - [mindis/prom2click](https://github.com/mindis/prom2click) (★165 Go) - Prom2click is an experimental Prometheus remote storage adapter that enables scalable and high-performance metric storage and querying using Clickhouse's column-oriented database optimized for time series data.
266 | - [openlit/openlit](https://github.com/openlit/openlit) (★2083 Python) - OpenLIT is an open-source AI engineering platform providing OpenTelemetry-native observability, monitoring, and management tools for large language models, GPUs, and vector databases, with data stored in ClickHouse for efficient telemetry analysis.
267 | - [openmeterio/openmeter](https://github.com/openmeterio/openmeter) (★1743 Go) - OpenMeter is a flexible metering and billing platform for AI, API, and DevOps companies that collects and aggregates usage events in real-time to enable usage-based billing and real-time insights.
268 | - [uptrace/uptrace](https://github.com/uptrace/uptrace) (★3993 Go) - Uptrace is an open source APM platform that uses OpenTelemetry for data collection and ClickHouse for storage, providing unified monitoring of traces, metrics, and logs with powerful querying, dashboards, and alerting capabilities.
269 | - [vmxdev/xenoeye](https://github.com/vmxdev/xenoeye) (★129 C++) - Xenoeye is a lightweight and efficient Netflow/IPFIX/sFlow collector and analyzer designed for medium to large networks, supporting traffic monitoring, anomaly detection, and integration with Grafana, PostgreSQL, and ClickHouse.
270 | 
271 | 
272 | ### Deployment and Management Tools
273 | 
274 | - [Altinity/clickhouse-operator](https://github.com/Altinity/clickhouse-operator) (★2338 Go) - Altinity Kubernetes Operator for ClickHouse automates the creation, configuration, and management of ClickHouse clusters on Kubernetes, providing scalable and customizable cluster operations with integrated monitoring.
275 | - [Altinity/clickhouse-rpm-install](https://github.com/Altinity/clickhouse-rpm-install) (★135 ) - Altinity/clickhouse-rpm-install provides detailed instructions and scripts for installing ClickHouse RPM packages from Altinity's repositories on CentOS and Amazon Linux systems.
276 | - [housepower/ckman](https://github.com/housepower/ckman) (★475 Go) - ckman is a web-based tool for managing and monitoring ClickHouse database clusters, offering deployment, upgrade, node management, and monitoring features.
277 | - [tetafro/clickhouse-cluster](https://github.com/tetafro/clickhouse-cluster) (★223 Makefile) - A simple ClickHouse cluster setup with 2 shards and 2 replicas using docker-compose for local development and testing.
278 | 
279 | 
280 | ### Data Visualization and Analysis
281 | 
282 | - [Altinity/clickhouse-grafana](https://github.com/Altinity/clickhouse-grafana) (★764 Python) - Altinity/clickhouse-grafana is a Grafana datasource plugin that enables seamless integration and visualization of ClickHouse data within Grafana dashboards.
283 | - [ClickHouse/adsb.exposed](https://github.com/ClickHouse/adsb.exposed) (★427 HTML) - An interactive platform for visualizing and analyzing massive ADS-B air traffic data using ClickHouse with real-time querying and detailed visualizations.
284 | - [ClickHouse/clickpy](https://github.com/ClickHouse/clickpy) (★124 JavaScript) - ClickPy is an open-source real-time Python package analytics service powered by ClickHouse, providing fast, detailed insights into PyPI package downloads and trends.
285 | - [ClickHouse/github-explorer](https://github.com/ClickHouse/github-explorer) (★166 HTML) - ClickHouse/github-explorer is a comprehensive dataset and analysis platform using ClickHouse to explore and understand GitHub repository events and trends since 2011.
286 | - [TongchengOpenSource/ckibana](https://github.com/TongchengOpenSource/ckibana) (★309 Java) - CKibana is a ClickHouse adapter and proxy for Kibana that enables seamless visualization and analysis of ClickHouse data using native Kibana interfaces.
287 | - [akvorado/akvorado](https://github.com/akvorado/akvorado) (★2011 Go) - Akvorado is a flow collector, enricher, and visualizer that processes network flow data, enriches it with interface and geolocation information, and stores it in ClickHouse for real-time analysis and visualization.
288 | - [benawad/voidpulse](https://github.com/benawad/voidpulse) (★102 TypeScript) - Voidpulse is an open-source AI-powered analytics platform serving as a cost-effective alternative to Mixpanel, utilizing Clickhouse for event data storage and querying.
289 | - [clickvisual/clickvisual](https://github.com/clickvisual/clickvisual) (★1623 Go) - ClickVisual is a lightweight log analytics and data visualization platform built on ClickHouse, designed for efficient log querying, analysis, and monitoring.
290 | - [datainsider-co/rocket-bi](https://github.com/datainsider-co/rocket-bi) (★115 TypeScript) - Rocket BI is a free, open-source, web-based self-service business intelligence tool tailored for analytical databases including ClickHouse, enabling users to analyze, visualize, and collaborate on data through interactive dashboards and drag-and-drop interfaces.
291 | - [grafana/clickhouse-datasource](https://github.com/grafana/clickhouse-datasource) (★195 TypeScript) - Official Grafana plugin enabling querying and visualization of ClickHouse data within Grafana dashboards.
292 | - [iamtelescope/telescope](https://github.com/iamtelescope/telescope) (★615 Vue) - Telescope is a web-based log viewer UI that enables intuitive exploration and analysis of log data stored primarily in ClickHouse, with support for Docker logs and advanced querying features.
293 | - [mprove-io/mprove](https://github.com/mprove-io/mprove) (★328 TypeScript) - Mprove is an open-source self-service Business Intelligence platform with version control, leveraging ClickHouse for high-performance data analytics and flexible deployment options.
294 | - [mr-karan/logchef](https://github.com/mr-karan/logchef) (★484 Vue) - Logchef is a lightweight, high-performance log analytics platform built on ClickHouse, offering schema-agnostic querying, team-based access control, and easy deployment as a single binary.
295 | - [serenedb/serenedb](https://github.com/serenedb/serenedb) (★150 C++) - SereneDB is a distributed real-time search analytics database that unifies Elasticsearch-like search and ClickHouse-like analytics in a single, Postgres-compatible platform for high performance and ease of use.
296 | 
297 | 
298 | ### ETL and Data Processing
299 | 
300 | - [ByConity/ByConity](https://github.com/ByConity/ByConity) (★2224 C++) - ByConity is an open-source cloud data warehouse derived from ClickHouse, designed with a cloud-native architecture to provide high-performance querying and unified management of batch and streaming data at large scale.
301 | - [ClickHouse/ClickBench](https://github.com/ClickHouse/ClickBench) (★924 HTML) - ClickBench is a comprehensive and reproducible benchmark designed to evaluate the performance of analytical databases, including ClickHouse, using realistic workloads derived from real-world web analytics data.
302 | - [FrigadeHQ/trench](https://github.com/FrigadeHQ/trench) (★1612 TypeScript) - Trench is an open-source, production-ready analytics infrastructure built on ClickHouse and Kafka for scalable, real-time event tracking and analytics with GDPR compliance.
303 | - [LimeJourney/limeJourney](https://github.com/LimeJourney/limeJourney) (★125 TypeScript) - LimeJourney is an open-source customer engagement platform that leverages ClickHouse for real-time segmentation and high-volume event data management to create personalized, data-driven user journeys at scale.
304 | - [PeerDB-io/peerdb](https://github.com/PeerDB-io/peerdb) (★2841 Go) - PeerDB is a high-performance, PostgreSQL-optimized ETL tool that enables fast, reliable, and cost-effective streaming of data from Postgres to data warehouses, queues, and storage engines, with native integration in ClickHouse Cloud.
305 | - [cloudflare/flow-pipeline](https://github.com/cloudflare/flow-pipeline) (★186 Go) - Flow-pipeline is a Cloudflare project providing tools and examples to build scalable network flow data collection and processing pipelines using GoFlow, Kafka, and databases like Postgres and Clickhouse.
306 | - [devlive-community/datacap](https://github.com/devlive-community/datacap) (★974 Java) - DataCap is an integrated software platform for data transformation, integration, and visualization, supporting a wide range of data sources including ClickHouse and other major databases.
307 | - [droher/boxball](https://github.com/droher/boxball) (★129 Python) - Boxball provides prebuilt Docker images with Retrosheet's complete baseball history data for multiple analytical database frameworks including Clickhouse, enabling easy access and analysis of comprehensive baseball datasets.
308 | - [easysql/easy_sql](https://github.com/easysql/easy_sql) (★134 Python) - Easy SQL is a versatile library that simplifies ETL development by enabling imperative SQL workflows across multiple backend SQL engines including Clickhouse.
309 | - [fortiql/data-forge](https://github.com/fortiql/data-forge) (★162 Jupyter Notebook) - Data Forge is a modern data stack playground that integrates tools like Spark, Trino, Kafka, ClickHouse, and Airflow to enable data engineers to practice end-to-end workflows locally using Docker Compose.
310 | - [glassflow/clickhouse-etl](https://github.com/glassflow/clickhouse-etl) (★375 TypeScript) - GlassFlow is an open-source ETL tool for real-time data processing from Kafka to ClickHouse with features like deduplication and temporal joins.
311 | - [jitsucom/bulker](https://github.com/jitsucom/bulker) (★207 Go) - Bulker is a scalable and reliable service for bulk-loading semi-structured JSON data into multiple databases including ClickHouse, with automatic schema management and support for streaming and batching modes.
312 | - [myscale/MyScaleDB](https://github.com/myscale/MyScaleDB) (★1018 C++) - MyScaleDB is a high-performance SQL vector database built on ClickHouse, enabling scalable AI applications with advanced vector and full-text search capabilities using familiar SQL.
313 | - [ozontech/file.d](https://github.com/ozontech/file.d) (★475 Go) - file.d is a high-performance, versatile tool for building data pipelines that read, process, and output events with support for ClickHouse and other output plugins, optimized for speed and reliability in modern infrastructure environments.
314 | - [timeplus-io/proton](https://github.com/timeplus-io/proton) (★2099 C++) - Timeplus Proton is a high-performance, lightweight streaming SQL engine powered by ClickHouse, designed for real-time analytics and ETL on streaming data from Kafka, Pulsar, Iceberg, and ClickHouse with advanced features like CDC, UPSERT, and multi-stream JOINs.
315 | - [toddwschneider/nyc-taxi-data](https://github.com/toddwschneider/nyc-taxi-data) (★2053 R) - A comprehensive project for importing, processing, and analyzing over 3 billion NYC taxi and for-hire vehicle trip records using PostgreSQL or ClickHouse databases.
316 | - [transferia/transferia](https://github.com/transferia/transferia) (★171 Go) - Transferia is an open-source cloud-native ingestion engine that enables scalable, high-performance data transfer and transformation across diverse sources and destinations, with strong support for ClickHouse as a key target database.
317 | - [wgzhao/Addax](https://github.com/wgzhao/Addax) (★1378 Java) - Addax is a versatile and extensible open-source ETL tool that supports seamless data transfer between over 20 SQL and NoSQL data sources, including ClickHouse, with easy configuration and deployment options.
318 | - [ytsaurus/ytsaurus](https://github.com/ytsaurus/ytsaurus) (★2111 C++) - YTsaurus is a scalable, fault-tolerant open-source big data platform featuring MapReduce, SQL engine, NoSQL store, and integration with ClickHouse for fast analytics.
319 | 
320 | 
321 | 
322 | ## Ops
323 | 
324 | - [Altinity/clickhouse-backup](https://github.com/Altinity/clickhouse-backup) (★1518 Go) - Altinity/clickhouse-backup is a tool for easy backup and restore of ClickHouse databases using various cloud and local object storage systems.
325 | - [ClickHouse/mcp-clickhouse](https://github.com/ClickHouse/mcp-clickhouse) (★619 Python) - ClickHouse MCP Server is a secure MCP server enabling read-only SQL query execution and database management operations on ClickHouse clusters.
326 | - [PostHog/HouseWatch](https://github.com/PostHog/HouseWatch) (★605 TypeScript) - HouseWatch is an open-source tool by PostHog for monitoring and managing ClickHouse clusters, providing detailed insights into query performance, cluster load, logs, and disk usage with operational controls.
327 | - [duyet/clickhouse-monitoring](https://github.com/duyet/clickhouse-monitoring) (★190 TypeScript) - ClickHouse Monitoring Dashboard is a Next.js-based UI tool that leverages system tables to provide comprehensive monitoring and visualization of ClickHouse clusters, including query, cluster, and table metrics.
328 | 
329 | 
330 | ## Documentation
331 | 
332 | - [ClickHouse/ClickHouse](https://github.com/ClickHouse/ClickHouse) (★44668 C++) - ClickHouse is an open-source, column-oriented database management system designed for real-time analytics and high-performance data processing.
333 | - [ClickHouse/clickhouse-academy](https://github.com/ClickHouse/clickhouse-academy) (★104 Python) - ClickHouse Academy offers free, on-demand training and certification for database professionals to effectively learn and use the ClickHouse analytical database system.
334 | - [ClickHouse/clickhouse-docs](https://github.com/ClickHouse/clickhouse-docs) (★178 MDX) - Official documentation repository for ClickHouse, providing comprehensive guides and resources for using the ClickHouse column-oriented database management system.
335 | - [ClickHouse/clickhouse-presentations](https://github.com/ClickHouse/clickhouse-presentations) (★1062 HTML) - A repository hosting presentations, meetups, and talks about ClickHouse, an open-source column-oriented database for real-time analytical data reporting.
336 | - [jneo8/clickhouse-setup](https://github.com/jneo8/clickhouse-setup) (★152 Makefile) - A comprehensive tutorial for setting up and configuring ClickHouse servers and clusters using Docker, emphasizing replication and data consistency with ZooKeeper.
337 | 
338 | 
339 | ## Examples
340 | 
341 | - [AlexeyKupershtokh/clickhouse-maxmind-geoip](https://github.com/AlexeyKupershtokh/clickhouse-maxmind-geoip) (★122 Dockerfile) - A demonstration project showcasing the integration of ClickHouse with MaxMind GeoIP2 databases for geolocation, including dictionary definitions, table schemas, query examples, and Docker setup for easy experimentation.
342 | - [ClickHouse/examples](https://github.com/ClickHouse/examples) (★202 Jupyter Notebook) - ClickHouse/examples is a repository providing a collection of data, SQL queries, and Docker Compose recipes to help users quickly deploy, experiment with, and integrate ClickHouse in various environments.
343 | 
344 | 
345 | 
346 | ## License
347 | 
348 | [<img src="https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg">](https://creativecommons.org/publicdomain/zero/1.0/)
349 | 


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 285 |             
 286 |                 <li style="margin-left: 15px;">
 287 |                     <a href="#.net" aria-label="Go to .Net section">.Net</a> <span aria-label="3 items">(3)</span>
 288 |                     </li>
 289 |             
 290 |                 <li style="margin-left: 15px;">
 291 |                     <a href="#odbc" aria-label="Go to ODBC section">ODBC</a> <span aria-label="1 items">(1)</span>
 292 |                     </li>
 293 |             
 294 |                 <li style="margin-left: 15px;">
 295 |                     <a href="#php" aria-label="Go to PHP section">PHP</a> <span aria-label="4 items">(4)</span>
 296 |                     </li>
 297 |             
 298 |                 <li style="margin-left: 15px;">
 299 |                     <a href="#python" aria-label="Go to Python section">Python</a> <span aria-label="15 items">(15)</span>
 300 |                     </li>
 301 |             
 302 |                 <li style="margin-left: 15px;">
 303 |                     <a href="#ruby" aria-label="Go to Ruby section">Ruby</a> <span aria-label="2 items">(2)</span>
 304 |                     </li>
 305 |             
 306 |                 <li style="margin-left: 15px;">
 307 |                     <a href="#rust" aria-label="Go to Rust section">Rust</a> <span aria-label="6 items">(6)</span>
 308 |                     </li>
 309 |             
 310 |                 <li style="margin-left: 15px;">
 311 |                     <a href="#scala" aria-label="Go to Scala section">Scala</a> <span aria-label="3 items">(3)</span>
 312 |                     </li>
 313 |             
 314 |                 <li style="margin-left: 15px;">
 315 |                     <a href="#other-sdk/libraries" aria-label="Go to Other sdk/libraries section">Other sdk/libraries</a> <span aria-label="2 items">(2)</span>
 316 |                     </li>
 317 |             </ul></li>
 318 |             
 319 |                 <li style="margin-left: 0px;">
 320 |                     <a href="#uis" aria-label="Go to UIs section">UIs</a> 
 321 |                     <ul>
 322 |                 <li style="margin-left: 15px;">
 323 |                     <a href="#gui" aria-label="Go to GUI section">GUI</a> <span aria-label="16 items">(16)</span>
 324 |                     </li>
 325 |             
 326 |                 <li style="margin-left: 15px;">
 327 |                     <a href="#cli" aria-label="Go to CLI section">CLI</a> <span aria-label="6 items">(6)</span>
 328 |                     </li>
 329 |             
 330 |                 <li style="margin-left: 15px;">
 331 |                     <a href="#chui(chat-based-user-interface)-or-chubaca(chat-based-client:)" aria-label="Go to CHUI(Chat-based User Interface) or CHUBACA(Chat-Based Client:) section">CHUI(Chat-based User Interface) or CHUBACA(Chat-Based Client:)</a> <span aria-label="5 items">(5)</span>
 332 |                     </li>
 333 |             </ul></li>
 334 |             
 335 |                 <li style="margin-left: 0px;">
 336 |                     <a href="#integrations" aria-label="Go to Integrations section">Integrations</a> 
 337 |                     <ul>
 338 |                 <li style="margin-left: 15px;">
 339 |                     <a href="#data-transfer-and-synchronization" aria-label="Go to Data Transfer and Synchronization section">Data Transfer and Synchronization</a> <span aria-label="12 items">(12)</span>
 340 |                     </li>
 341 |             
 342 |                 <li style="margin-left: 15px;">
 343 |                     <a href="#metrics-and-monitoring" aria-label="Go to Metrics and Monitoring section">Metrics and Monitoring</a> <span aria-label="17 items">(17)</span>
 344 |                     </li>
 345 |             
 346 |                 <li style="margin-left: 15px;">
 347 |                     <a href="#deployment-and-management-tools" aria-label="Go to Deployment and Management Tools section">Deployment and Management Tools</a> <span aria-label="4 items">(4)</span>
 348 |                     </li>
 349 |             
 350 |                 <li style="margin-left: 15px;">
 351 |                     <a href="#data-visualization-and-analysis" aria-label="Go to Data Visualization and Analysis section">Data Visualization and Analysis</a> <span aria-label="14 items">(14)</span>
 352 |                     </li>
 353 |             
 354 |                 <li style="margin-left: 15px;">
 355 |                     <a href="#etl-and-data-processing" aria-label="Go to ETL and Data Processing section">ETL and Data Processing</a> <span aria-label="19 items">(19)</span>
 356 |                     </li>
 357 |             </ul></li>
 358 |             
 359 |                 <li style="margin-left: 0px;">
 360 |                     <a href="#ops" aria-label="Go to Ops section">Ops</a> <span aria-label="4 items">(4)</span>
 361 |                     </li>
 362 |             
 363 |                 <li style="margin-left: 0px;">
 364 |                     <a href="#documentation" aria-label="Go to Documentation section">Documentation</a> <span aria-label="5 items">(5)</span>
 365 |                     </li>
 366 |             
 367 |                 <li style="margin-left: 0px;">
 368 |                     <a href="#examples" aria-label="Go to Examples section">Examples</a> <span aria-label="2 items">(2)</span>
 369 |                     </li>
 370 |             </ul>
 371 |         </nav>
 372 | 
 373 |         <main role="main">
 374 |             <section aria-labelledby="language-bindings"><h2 id="language-bindings">Language bindings</h2>
 375 |                 
 376 |                 
 377 |             <section aria-labelledby="c/c++"><h3 id="c/c++">C/C++</h3>
 378 |                 <ul aria-label="List of C/C++ items">
 379 |                     <li>
 380 |                         <a href="https://github.com/ClickHouse/ai-sdk-cpp" aria-label="ClickHouse/ai-sdk-cpp - 122 stars, C++" target="_blank" rel="noopener">ClickHouse/ai-sdk-cpp</a>
 381 |                         <span class="stars" aria-hidden="true">⭐ 122</span>
 382 |                         <span class="language" aria-hidden="true">C++</span> -
 383 |                         <span>AI SDK CPP is a modern C++ toolkit from ClickHouse engineers that provides a unified API to build AI-powered applications using models from OpenAI, Anthropic, and other providers.</span>
 384 |                     </li>
 385 |                     <li>
 386 |                         <a href="https://github.com/ClickHouse/clickhouse-cpp" aria-label="ClickHouse/clickhouse-cpp - 354 stars, C" target="_blank" rel="noopener">ClickHouse/clickhouse-cpp</a>
 387 |                         <span class="stars" aria-hidden="true">⭐ 354</span>
 388 |                         <span class="language" aria-hidden="true">C</span> -
 389 |                         <span>clickhouse-cpp is a C++ client library for ClickHouse that supports a wide range of data types and features including asynchronous inserts and retry logic.</span>
 390 |                     </li>
 391 |                     <li>
 392 |                         <a href="https://github.com/RoaringBitmap/CRoaring" aria-label="RoaringBitmap/CRoaring - 1735 stars, C" target="_blank" rel="noopener">RoaringBitmap/CRoaring</a>
 393 |                         <span class="stars" aria-hidden="true">⭐ 1735</span>
 394 |                         <span class="language" aria-hidden="true">C</span> -
 395 |                         <span>CRoaring is a high-performance C/C++ library for Roaring bitmaps with SIMD optimizations, widely used in big data systems including ClickHouse for efficient compressed bitmap operations.</span>
 396 |                     </li>
 397 |                     <li>
 398 |                         <a href="https://github.com/ada-url/ada" aria-label="ada-url/ada - 1651 stars, C++" target="_blank" rel="noopener">ada-url/ada</a>
 399 |                         <span class="stars" aria-hidden="true">⭐ 1651</span>
 400 |                         <span class="language" aria-hidden="true">C++</span> -
 401 |                         <span>Ada is a fast, WHATWG-compliant URL parser written in modern C++ and used by major systems including Clickhouse, Node.js, and Cloudflare Workers.</span>
 402 |                     </li>
 403 |                     <li>
 404 |                         <a href="https://github.com/simdjson/simdjson" aria-label="simdjson/simdjson - 22928 stars, C++" target="_blank" rel="noopener">simdjson/simdjson</a>
 405 |                         <span class="stars" aria-hidden="true">⭐ 22928</span>
 406 |                         <span class="language" aria-hidden="true">C++</span> -
 407 |                         <span>simdjson is a high-performance JSON parsing library that uses SIMD instructions to parse gigabytes of JSON data per second, widely used in projects including ClickHouse.</span>
 408 |                     </li>
 409 |                 </ul>
 410 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 411 |                 </section>
 412 |             
 413 |             <section aria-labelledby="elixir"><h3 id="elixir">Elixir</h3>
 414 |                 <ul aria-label="List of Elixir items">
 415 |                     <li>
 416 |                         <a href="https://github.com/plausible/ecto_ch" aria-label="plausible/ecto_ch - 112 stars, Elixir" target="_blank" rel="noopener">plausible/ecto_ch</a>
 417 |                         <span class="stars" aria-hidden="true">⭐ 112</span>
 418 |                         <span class="language" aria-hidden="true">Elixir</span> -
 419 |                         <span>ecto_ch is an Elixir Ecto adapter that enables integration with the ClickHouse database, supporting ClickHouse-specific features and data types for efficient analytics applications.</span>
 420 |                     </li>
 421 |                 </ul>
 422 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 423 |                 </section>
 424 |             
 425 |             <section aria-labelledby="javascript/typescript"><h3 id="javascript/typescript">JavaScript/Typescript</h3>
 426 |                 <ul aria-label="List of JavaScript/Typescript items">
 427 |                     <li>
 428 |                         <a href="https://github.com/514-labs/moose" aria-label="514-labs/moose - 280 stars, Rust" target="_blank" rel="noopener">514-labs/moose</a>
 429 |                         <span class="stars" aria-hidden="true">⭐ 280</span>
 430 |                         <span class="language" aria-hidden="true">Rust</span> -
 431 |                         <span>Moose is an open-source developer framework for building scalable analytical backends on Clickhouse, Redpanda, and other high-performance data infrastructures using TypeScript or Python.</span>
 432 |                     </li>
 433 |                     <li>
 434 |                         <a href="https://github.com/Canner/vulcan-sql" aria-label="Canner/vulcan-sql - 780 stars, TypeScript" target="_blank" rel="noopener">Canner/vulcan-sql</a>
 435 |                         <span class="stars" aria-hidden="true">⭐ 780</span>
 436 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 437 |                         <span>VulcanSQL is an Analytical Data API Framework that simplifies and accelerates the creation of secure, scalable RESTful APIs from databases and data warehouses for AI agents and data applications.</span>
 438 |                     </li>
 439 |                     <li>
 440 |                         <a href="https://github.com/ClickHouse/clickhouse-js" aria-label="ClickHouse/clickhouse-js - 281 stars, TypeScript" target="_blank" rel="noopener">ClickHouse/clickhouse-js</a>
 441 |                         <span class="stars" aria-hidden="true">⭐ 281</span>
 442 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 443 |                         <span>Official JavaScript client for ClickHouse database providing streaming support and compatibility across Node.js and web environments.</span>
 444 |                     </li>
 445 |                     <li>
 446 |                         <a href="https://github.com/TimonKK/clickhouse" aria-label="TimonKK/clickhouse - 224 stars, JavaScript" target="_blank" rel="noopener">TimonKK/clickhouse</a>
 447 |                         <span class="stars" aria-hidden="true">⭐ 224</span>
 448 |                         <span class="language" aria-hidden="true">JavaScript</span> -
 449 |                         <span>A NodeJS client for ClickHouse enabling query execution, streaming, session management, and data insertion over HTTP interface.</span>
 450 |                     </li>
 451 |                     <li>
 452 |                         <a href="https://github.com/apla/node-clickhouse" aria-label="apla/node-clickhouse - 218 stars, JavaScript" target="_blank" rel="noopener">apla/node-clickhouse</a>
 453 |                         <span class="stars" aria-hidden="true">⭐ 218</span>
 454 |                         <span class="language" aria-hidden="true">JavaScript</span> -
 455 |                         <span>A Node.js driver providing a simple and powerful interface to interact with the ClickHouse database, supporting efficient query execution and bulk data loading.</span>
 456 |                     </li>
 457 |                 </ul>
 458 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 459 |                 </section>
 460 |             
 461 |             <section aria-labelledby="golang"><h3 id="golang">Golang</h3>
 462 |                 <ul aria-label="List of Golang items">
 463 |                     <li>
 464 |                         <a href="https://github.com/AfterShip/clickhouse-sql-parser" aria-label="AfterShip/clickhouse-sql-parser - 219 stars, Go" target="_blank" rel="noopener">AfterShip/clickhouse-sql-parser</a>
 465 |                         <span class="stars" aria-hidden="true">⭐ 219</span>
 466 |                         <span class="language" aria-hidden="true">Go</span> -
 467 |                         <span>AfterShip/clickhouse-sql-parser is a Go-based SQL parser designed to parse and beautify ClickHouse SQL queries by converting them into an Abstract Syntax Tree (AST) and back, available as both a library and CLI tool.</span>
 468 |                     </li>
 469 |                     <li>
 470 |                         <a href="https://github.com/ClickHouse/ch-go" aria-label="ClickHouse/ch-go - 402 stars, Go" target="_blank" rel="noopener">ClickHouse/ch-go</a>
 471 |                         <span class="stars" aria-hidden="true">⭐ 402</span>
 472 |                         <span class="language" aria-hidden="true">Go</span> -
 473 |                         <span>ch-go is a low-level Go client for ClickHouse designed for high-performance data block streaming with minimal overhead and direct protocol implementation.</span>
 474 |                     </li>
 475 |                     <li>
 476 |                         <a href="https://github.com/ClickHouse/clickhouse-go" aria-label="ClickHouse/clickhouse-go - 3213 stars, Go" target="_blank" rel="noopener">ClickHouse/clickhouse-go</a>
 477 |                         <span class="stars" aria-hidden="true">⭐ 3213</span>
 478 |                         <span class="language" aria-hidden="true">Go</span> -
 479 |                         <span>clickhouse-go is a Golang SQL database client providing a native and database/sql interface for efficient and feature-rich interaction with ClickHouse.</span>
 480 |                     </li>
 481 |                     <li>
 482 |                         <a href="https://github.com/ContentSquare/chproxy" aria-label="ContentSquare/chproxy - 1421 stars, Go" target="_blank" rel="noopener">ContentSquare/chproxy</a>
 483 |                         <span class="stars" aria-hidden="true">⭐ 1421</span>
 484 |                         <span class="language" aria-hidden="true">Go</span> -
 485 |                         <span>Chproxy is an open-source HTTP proxy and load balancer designed to optimize and manage HTTP traffic for the ClickHouse database, enhancing scalability and fault tolerance.</span>
 486 |                     </li>
 487 |                     <li>
 488 |                         <a href="https://github.com/chdb-io/chdb-go" aria-label="chdb-io/chdb-go - 127 stars, Go" target="_blank" rel="noopener">chdb-io/chdb-go</a>
 489 |                         <span class="stars" aria-hidden="true">⭐ 127</span>
 490 |                         <span class="language" aria-hidden="true">Go</span> -
 491 |                         <span>chdb-go provides Go bindings and a CLI for chDB, an in-process SQL OLAP engine powered by ClickHouse, enabling SQL query execution and database management within Go applications.</span>
 492 |                     </li>
 493 |                     <li>
 494 |                         <a href="https://github.com/korchasa/awesome-clickhouse" aria-label="korchasa/awesome-clickhouse - 172 stars, HTML" target="_blank" rel="noopener">korchasa/awesome-clickhouse</a>
 495 |                         <span class="stars" aria-hidden="true">⭐ 172</span>
 496 |                         <span class="language" aria-hidden="true">HTML</span> -
 497 |                         <span>A curated repository compiling an extensive list of software, tools, and resources related to ClickHouse to support developers and data engineers in working with the ClickHouse database.</span>
 498 |                     </li>
 499 |                     <li>
 500 |                         <a href="https://github.com/mailru/go-clickhouse" aria-label="mailru/go-clickhouse - 435 stars, Go" target="_blank" rel="noopener">mailru/go-clickhouse</a>
 501 |                         <span class="stars" aria-hidden="true">⭐ 435</span>
 502 |                         <span class="language" aria-hidden="true">Go</span> -
 503 |                         <span>A Golang SQL database driver for Yandex ClickHouse using the official HTTP interface, supporting extensive ClickHouse features and integration with tracing tools.</span>
 504 |                     </li>
 505 |                     <li>
 506 |                         <a href="https://github.com/roistat/go-clickhouse" aria-label="roistat/go-clickhouse - 190 stars, Go" target="_blank" rel="noopener">roistat/go-clickhouse</a>
 507 |                         <span class="stars" aria-hidden="true">⭐ 190</span>
 508 |                         <span class="language" aria-hidden="true">Go</span> -
 509 |                         <span>A Golang connector for Yandex ClickHouse enabling efficient querying, data insertion, and cluster management for large-scale data processing.</span>
 510 |                     </li>
 511 |                     <li>
 512 |                         <a href="https://github.com/runreveal/pql" aria-label="runreveal/pql - 685 stars, Go" target="_blank" rel="noopener">runreveal/pql</a>
 513 |                         <span class="stars" aria-hidden="true">⭐ 685</span>
 514 |                         <span class="language" aria-hidden="true">Go</span> -
 515 |                         <span>pql is a Go library and CLI tool that compiles a pipelined query language inspired by Kusto Query Language into SQL, with specific compatibility for the Clickhouse SQL dialect but designed to be database agnostic.</span>
 516 |                     </li>
 517 |                     <li>
 518 |                         <a href="https://github.com/trickstercache/trickster" aria-label="trickstercache/trickster - 2061 stars, Go" target="_blank" rel="noopener">trickstercache/trickster</a>
 519 |                         <span class="stars" aria-hidden="true">⭐ 2061</span>
 520 |                         <span class="language" aria-hidden="true">Go</span> -
 521 |                         <span>Trickster is an open-source HTTP reverse proxy cache and time series dashboard accelerator that improves performance and scalability for time series databases including ClickHouse, Prometheus, and InfluxDB.</span>
 522 |                     </li>
 523 |                     <li>
 524 |                         <a href="https://github.com/uptrace/go-clickhouse" aria-label="uptrace/go-clickhouse - 282 stars, Go" target="_blank" rel="noopener">uptrace/go-clickhouse</a>
 525 |                         <span class="stars" aria-hidden="true">⭐ 282</span>
 526 |                         <span class="language" aria-hidden="true">Go</span> -
 527 |                         <span>A high-performance Go client library for ClickHouse using its native protocol, supporting modern Go features and efficient database operations.</span>
 528 |                     </li>
 529 |                     <li>
 530 |                         <a href="https://github.com/vahid-sohrabloo/chconn" aria-label="vahid-sohrabloo/chconn - 159 stars, Go" target="_blank" rel="noopener">vahid-sohrabloo/chconn</a>
 531 |                         <span class="stars" aria-hidden="true">⭐ 159</span>
 532 |                         <span class="language" aria-hidden="true">Go</span> -
 533 |                         <span>chconn is a high-performance, low-level Go driver for ClickHouse that supports all ClickHouse data types, batch operations, TLS, and compression protocols, optimized for speed and efficiency.</span>
 534 |                     </li>
 535 |                     <li>
 536 |                         <a href="https://github.com/zerodha/dungbeetle" aria-label="zerodha/dungbeetle - 1050 stars, Go" target="_blank" rel="noopener">zerodha/dungbeetle</a>
 537 |                         <span class="stars" aria-hidden="true">⭐ 1050</span>
 538 |                         <span class="language" aria-hidden="true">Go</span> -
 539 |                         <span>DungBeetle is a distributed job server for asynchronously queuing and executing heavy SQL read jobs on MySQL, PostgreSQL, and ClickHouse databases, designed to offload report generation and improve application performance.</span>
 540 |                     </li>
 541 |                 </ul>
 542 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 543 |                 </section>
 544 |             
 545 |             <section aria-labelledby="java"><h3 id="java">Java</h3>
 546 |                 <ul aria-label="List of Java items">
 547 |                     <li>
 548 |                         <a href="https://github.com/Blynk-Technologies/clickhouse4j" aria-label="Blynk-Technologies/clickhouse4j - 216 stars, Java" target="_blank" rel="noopener">Blynk-Technologies/clickhouse4j</a>
 549 |                         <span class="stars" aria-hidden="true">⭐ 216</span>
 550 |                         <span class="language" aria-hidden="true">Java</span> -
 551 |                         <span>clickhouse4j is a lightweight and faster alternative to the official ClickHouse JDBC driver, offering reduced dependencies, smaller size, and enhanced performance for Java applications.</span>
 552 |                     </li>
 553 |                     <li>
 554 |                         <a href="https://github.com/ClickHouse/clickhouse-java" aria-label="ClickHouse/clickhouse-java - 1580 stars, Java" target="_blank" rel="noopener">ClickHouse/clickhouse-java</a>
 555 |                         <span class="stars" aria-hidden="true">⭐ 1580</span>
 556 |                         <span class="language" aria-hidden="true">Java</span> -
 557 |                         <span>ClickHouse/clickhouse-java is a repository providing Java clients and a JDBC driver for efficient interaction with the ClickHouse database, supporting modern features and compatibility with active ClickHouse versions.</span>
 558 |                     </li>
 559 |                     <li>
 560 |                         <a href="https://github.com/ClickHouse/clickhouse-jdbc-bridge" aria-label="ClickHouse/clickhouse-jdbc-bridge - 173 stars, Java" target="_blank" rel="noopener">ClickHouse/clickhouse-jdbc-bridge</a>
 561 |                         <span class="stars" aria-hidden="true">⭐ 173</span>
 562 |                         <span class="language" aria-hidden="true">Java</span> -
 563 |                         <span>ClickHouse JDBC Bridge is an experimental JDBC proxy that enables real-time distributed querying from ClickHouse to external databases, simplifying data integration and pipeline construction.</span>
 564 |                     </li>
 565 |                     <li>
 566 |                         <a href="https://github.com/ClickHouse/metabase-clickhouse-driver" aria-label="ClickHouse/metabase-clickhouse-driver - 511 stars, Clojure" target="_blank" rel="noopener">ClickHouse/metabase-clickhouse-driver</a>
 567 |                         <span class="stars" aria-hidden="true">⭐ 511</span>
 568 |                         <span class="language" aria-hidden="true">Clojure</span> -
 569 |                         <span>A ClickHouse database driver enabling integration with the Metabase business intelligence front-end for data visualization and querying.</span>
 570 |                     </li>
 571 |                     <li>
 572 |                         <a href="https://github.com/housepower/ClickHouse-Native-JDBC" aria-label="housepower/ClickHouse-Native-JDBC - 541 stars, Java" target="_blank" rel="noopener">housepower/ClickHouse-Native-JDBC</a>
 573 |                         <span class="stars" aria-hidden="true">⭐ 541</span>
 574 |                         <span class="language" aria-hidden="true">Java</span> -
 575 |                         <span>ClickHouse Native JDBC is a high-performance native protocol JDBC driver for accessing ClickHouse databases in Java and integrating with Apache Spark.</span>
 576 |                     </li>
 577 |                     <li>
 578 |                         <a href="https://github.com/itinycheng/flink-connector-clickhouse" aria-label="itinycheng/flink-connector-clickhouse - 410 stars, Java" target="_blank" rel="noopener">itinycheng/flink-connector-clickhouse</a>
 579 |                         <span class="stars" aria-hidden="true">⭐ 410</span>
 580 |                         <span class="language" aria-hidden="true">Java</span> -
 581 |                         <span>A Flink SQL connector enabling efficient integration with ClickHouse for reading and writing data, supporting advanced features like partitioning, sharding, and caching.</span>
 582 |                     </li>
 583 |                     <li>
 584 |                         <a href="https://github.com/ivi-ru/flink-clickhouse-sink" aria-label="ivi-ru/flink-clickhouse-sink - 384 stars, Java" target="_blank" rel="noopener">ivi-ru/flink-clickhouse-sink</a>
 585 |                         <span class="stars" aria-hidden="true">⭐ 384</span>
 586 |                         <span class="language" aria-hidden="true">Java</span> -
 587 |                         <span>A high-performance Apache Flink sink connector for efficiently loading streaming data into the ClickHouse database using asynchronous HTTP requests.</span>
 588 |                     </li>
 589 |                 </ul>
 590 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 591 |                 </section>
 592 |             
 593 |             <section aria-labelledby=".net"><h3 id=".net">.Net</h3>
 594 |                 <ul aria-label="List of .Net items">
 595 |                     <li>
 596 |                         <a href="https://github.com/DarkWanderer/ClickHouse.Client" aria-label="DarkWanderer/ClickHouse.Client - 363 stars, C#" target="_blank" rel="noopener">DarkWanderer/ClickHouse.Client</a>
 597 |                         <span class="stars" aria-hidden="true">⭐ 363</span>
 598 |                         <span class="language" aria-hidden="true">C#</span> -
 599 |                         <span>.NET client library for ClickHouse providing high-throughput, broad type support, and ADO.NET compliance for efficient big data processing.</span>
 600 |                     </li>
 601 |                     <li>
 602 |                         <a href="https://github.com/DotNetNext/SqlSugar" aria-label="DotNetNext/SqlSugar - 5737 stars, C#" target="_blank" rel="noopener">DotNetNext/SqlSugar</a>
 603 |                         <span class="stars" aria-hidden="true">⭐ 5737</span>
 604 |                         <span class="language" aria-hidden="true">C#</span> -
 605 |                         <span>SqlSugar is a high-performance, easy-to-use .NET ORM framework supporting multiple databases including ClickHouse, designed for big data and SaaS applications.</span>
 606 |                     </li>
 607 |                     <li>
 608 |                         <a href="https://github.com/Octonica/ClickHouseClient" aria-label="Octonica/ClickHouseClient - 158 stars, C#" target="_blank" rel="noopener">Octonica/ClickHouseClient</a>
 609 |                         <span class="stars" aria-hidden="true">⭐ 158</span>
 610 |                         <span class="language" aria-hidden="true">C#</span> -
 611 |                         <span>Octonica/ClickHouseClient is a .NET Core ADO.NET driver providing efficient and comprehensive support for interacting with ClickHouse databases, including async operations and bulk data manipulation.</span>
 612 |                     </li>
 613 |                 </ul>
 614 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 615 |                 </section>
 616 |             
 617 |             <section aria-labelledby="odbc"><h3 id="odbc">ODBC</h3>
 618 |                 <ul aria-label="List of ODBC items">
 619 |                     <li>
 620 |                         <a href="https://github.com/ClickHouse/clickhouse-odbc" aria-label="ClickHouse/clickhouse-odbc - 276 stars, C" target="_blank" rel="noopener">ClickHouse/clickhouse-odbc</a>
 621 |                         <span class="stars" aria-hidden="true">⭐ 276</span>
 622 |                         <span class="language" aria-hidden="true">C</span> -
 623 |                         <span>Official ODBC driver for ClickHouse enabling cross-platform database connectivity through standard ODBC interfaces.</span>
 624 |                     </li>
 625 |                 </ul>
 626 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 627 |                 </section>
 628 |             
 629 |             <section aria-labelledby="php"><h3 id="php">PHP</h3>
 630 |                 <ul aria-label="List of PHP items">
 631 |                     <li>
 632 |                         <a href="https://github.com/FriendsOfDoctrine/dbal-clickhouse" aria-label="FriendsOfDoctrine/dbal-clickhouse - 108 stars, PHP" target="_blank" rel="noopener">FriendsOfDoctrine/dbal-clickhouse</a>
 633 |                         <span class="stars" aria-hidden="true">⭐ 108</span>
 634 |                         <span class="language" aria-hidden="true">PHP</span> -
 635 |                         <span>Doctrine DBAL driver for ClickHouse database enabling seamless integration with Symfony and other frameworks using Doctrine, supporting advanced database operations and custom types.</span>
 636 |                     </li>
 637 |                     <li>
 638 |                         <a href="https://github.com/cybercog/laravel-clickhouse" aria-label="cybercog/laravel-clickhouse - 135 stars, PHP" target="_blank" rel="noopener">cybercog/laravel-clickhouse</a>
 639 |                         <span class="stars" aria-hidden="true">⭐ 135</span>
 640 |                         <span class="language" aria-hidden="true">PHP</span> -
 641 |                         <span>Laravel ClickHouse is a package that integrates ClickHouse database client and migration support into Laravel applications, enabling efficient management of ClickHouse databases within the Laravel framework.</span>
 642 |                     </li>
 643 |                     <li>
 644 |                         <a href="https://github.com/smi2/phpClickHouse" aria-label="smi2/phpClickHouse - 816 stars, PHP" target="_blank" rel="noopener">smi2/phpClickHouse</a>
 645 |                         <span class="stars" aria-hidden="true">⭐ 816</span>
 646 |                         <span class="language" aria-hidden="true">PHP</span> -
 647 |                         <span>A PHP wrapper for ClickHouse providing asynchronous queries, bulk inserts, cluster management, and performance optimizations for efficient database interaction.</span>
 648 |                     </li>
 649 |                     <li>
 650 |                         <a href="https://github.com/the-tinderbox/ClickhouseBuilder" aria-label="the-tinderbox/ClickhouseBuilder - 197 stars, PHP" target="_blank" rel="noopener">the-tinderbox/ClickhouseBuilder</a>
 651 |                         <span class="stars" aria-hidden="true">⭐ 197</span>
 652 |                         <span class="language" aria-hidden="true">PHP</span> -
 653 |                         <span>ClickhouseBuilder is a PHP fluent query builder designed to simplify the construction and execution of complex SQL queries for Clickhouse databases, with integration support for Laravel and Lumen frameworks.</span>
 654 |                     </li>
 655 |                 </ul>
 656 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 657 |                 </section>
 658 |             
 659 |             <section aria-labelledby="python"><h3 id="python">Python</h3>
 660 |                 <ul aria-label="List of Python items">
 661 |                     <li>
 662 |                         <a href="https://github.com/514-labs/moosestack" aria-label="514-labs/moosestack - 502 stars, Rust" target="_blank" rel="noopener">514-labs/moosestack</a>
 663 |                         <span class="stars" aria-hidden="true">⭐ 502</span>
 664 |                         <span class="language" aria-hidden="true">Rust</span> -
 665 |                         <span>MooseStack is a developer framework for building real-time analytical backends using ClickHouse, Redpanda, Temporal, and Redis with a code-first, modular approach in TypeScript and Python.</span>
 666 |                     </li>
 667 |                     <li>
 668 |                         <a href="https://github.com/ClickHouse/clickhouse-connect" aria-label="ClickHouse/clickhouse-connect - 448 stars, Python" target="_blank" rel="noopener">ClickHouse/clickhouse-connect</a>
 669 |                         <span class="stars" aria-hidden="true">⭐ 448</span>
 670 |                         <span class="language" aria-hidden="true">Python</span> -
 671 |                         <span>ClickHouse Connect is a high-performance Python driver that enables seamless integration of ClickHouse with Python data tools like Pandas, SQLAlchemy, and Apache Superset for efficient data access and visualization.</span>
 672 |                     </li>
 673 |                     <li>
 674 |                         <a href="https://github.com/ClickHouse/dbt-clickhouse" aria-label="ClickHouse/dbt-clickhouse - 318 stars, Python" target="_blank" rel="noopener">ClickHouse/dbt-clickhouse</a>
 675 |                         <span class="stars" aria-hidden="true">⭐ 318</span>
 676 |                         <span class="language" aria-hidden="true">Python</span> -
 677 |                         <span>dbt-clickhouse is a plugin that integrates dbt functionality with ClickHouse, enabling advanced data transformation, modeling, and testing capabilities on ClickHouse databases.</span>
 678 |                     </li>
 679 |                     <li>
 680 |                         <a href="https://github.com/Infinidat/infi.clickhouse_orm" aria-label="Infinidat/infi.clickhouse_orm - 426 stars, Python" target="_blank" rel="noopener">Infinidat/infi.clickhouse_orm</a>
 681 |                         <span class="stars" aria-hidden="true">⭐ 426</span>
 682 |                         <span class="language" aria-hidden="true">Python</span> -
 683 |                         <span>infi.clickhouse_orm is a Python ORM library that simplifies working with the ClickHouse database by enabling easy model definition, data insertion, and querying.</span>
 684 |                     </li>
 685 |                     <li>
 686 |                         <a href="https://github.com/bryzgaloff/airflow-clickhouse-plugin" aria-label="bryzgaloff/airflow-clickhouse-plugin - 170 stars, Python" target="_blank" rel="noopener">bryzgaloff/airflow-clickhouse-plugin</a>
 687 |                         <span class="stars" aria-hidden="true">⭐ 170</span>
 688 |                         <span class="language" aria-hidden="true">Python</span> -
 689 |                         <span>Airflow ClickHouse Plugin is a top-ranked Apache Airflow plugin that integrates ClickHouse database functionality into Airflow workflows, providing versatile operators for efficient SQL execution and pipeline management.</span>
 690 |                     </li>
 691 |                     <li>
 692 |                         <a href="https://github.com/carrotquest/django-clickhouse" aria-label="carrotquest/django-clickhouse - 106 stars, Python" target="_blank" rel="noopener">carrotquest/django-clickhouse</a>
 693 |                         <span class="stars" aria-hidden="true">⭐ 106</span>
 694 |                         <span class="language" aria-hidden="true">Python</span> -
 695 |                         <span>django-clickhouse integrates the Yandex ClickHouse database into Django projects, enabling high-performance analytical queries and real-time data processing within Django applications.</span>
 696 |                     </li>
 697 |                     <li>
 698 |                         <a href="https://github.com/chdb-io/chdb" aria-label="chdb-io/chdb - 2549 stars, C++" target="_blank" rel="noopener">chdb-io/chdb</a>
 699 |                         <span class="stars" aria-hidden="true">⭐ 2549</span>
 700 |                         <span class="language" aria-hidden="true">C++</span> -
 701 |                         <span>chDB is an in-process OLAP SQL engine powered by ClickHouse that enables efficient analytical queries on various data formats directly within Python environments.</span>
 702 |                     </li>
 703 |                     <li>
 704 |                         <a href="https://github.com/cloudflare/sqlalchemy-clickhouse" aria-label="cloudflare/sqlalchemy-clickhouse - 325 stars, Python" target="_blank" rel="noopener">cloudflare/sqlalchemy-clickhouse</a>
 705 |                         <span class="stars" aria-hidden="true">⭐ 325</span>
 706 |                         <span class="language" aria-hidden="true">Python</span> -
 707 |                         <span>sqlalchemy-clickhouse is a SQLAlchemy dialect that enables seamless integration with the ClickHouse database for efficient data querying and manipulation.</span>
 708 |                     </li>
 709 |                     <li>
 710 |                         <a href="https://github.com/jayvynl/django-clickhouse-backend" aria-label="jayvynl/django-clickhouse-backend - 180 stars, Python" target="_blank" rel="noopener">jayvynl/django-clickhouse-backend</a>
 711 |                         <span class="stars" aria-hidden="true">⭐ 180</span>
 712 |                         <span class="language" aria-hidden="true">Python</span> -
 713 |                         <span>Django-clickhouse-backend is a Django database backend that enables seamless interaction with ClickHouse using Django ORM, supporting ClickHouse-specific features and efficient connection pooling.</span>
 714 |                     </li>
 715 |                     <li>
 716 |                         <a href="https://github.com/kszucs/pandahouse" aria-label="kszucs/pandahouse - 240 stars, Python" target="_blank" rel="noopener">kszucs/pandahouse</a>
 717 |                         <span class="stars" aria-hidden="true">⭐ 240</span>
 718 |                         <span class="language" aria-hidden="true">Python</span> -
 719 |                         <span>Pandahouse is a Python library providing a Pandas interface to interact with ClickHouse databases via HTTP API for efficient data reading and writing.</span>
 720 |                     </li>
 721 |                     <li>
 722 |                         <a href="https://github.com/long2ice/asynch" aria-label="long2ice/asynch - 227 stars, Python" target="_blank" rel="noopener">long2ice/asynch</a>
 723 |                         <span class="stars" aria-hidden="true">⭐ 227</span>
 724 |                         <span class="language" aria-hidden="true">Python</span> -
 725 |                         <span>An asynchronous Python driver for ClickHouse with native TCP interface support, enabling efficient database interactions using asyncio.</span>
 726 |                     </li>
 727 |                     <li>
 728 |                         <a href="https://github.com/maximdanilchenko/aiochclient" aria-label="maximdanilchenko/aiochclient - 259 stars, Python" target="_blank" rel="noopener">maximdanilchenko/aiochclient</a>
 729 |                         <span class="stars" aria-hidden="true">⭐ 259</span>
 730 |                         <span class="language" aria-hidden="true">Python</span> -
 731 |                         <span>aiochclient is a lightweight asynchronous HTTP client for Python that provides efficient and type-safe interaction with ClickHouse databases, supporting streaming, lazy decoding, and high performance through optional speedups.</span>
 732 |                     </li>
 733 |                     <li>
 734 |                         <a href="https://github.com/mymarilyn/aioch" aria-label="mymarilyn/aioch - 168 stars, Python" target="_blank" rel="noopener">mymarilyn/aioch</a>
 735 |                         <span class="stars" aria-hidden="true">⭐ 168</span>
 736 |                         <span class="language" aria-hidden="true">Python</span> -
 737 |                         <span>aioch is an asynchronous Python library that provides native interface access to ClickHouse databases using asyncio, enabling efficient and non-blocking query execution with progress tracking.</span>
 738 |                     </li>
 739 |                     <li>
 740 |                         <a href="https://github.com/mymarilyn/clickhouse-driver" aria-label="mymarilyn/clickhouse-driver - 1290 stars, Python" target="_blank" rel="noopener">mymarilyn/clickhouse-driver</a>
 741 |                         <span class="stars" aria-hidden="true">⭐ 1290</span>
 742 |                         <span class="language" aria-hidden="true">Python</span> -
 743 |                         <span>A Python driver providing native TCP interface support for efficient and secure interaction with ClickHouse databases, featuring extensive data type support and compliance with Python DB API 2.0.</span>
 744 |                     </li>
 745 |                     <li>
 746 |                         <a href="https://github.com/xzkostyan/clickhouse-sqlalchemy" aria-label="xzkostyan/clickhouse-sqlalchemy - 479 stars, Python" target="_blank" rel="noopener">xzkostyan/clickhouse-sqlalchemy</a>
 747 |                         <span class="stars" aria-hidden="true">⭐ 479</span>
 748 |                         <span class="language" aria-hidden="true">Python</span> -
 749 |                         <span>Clickhouse-sqlalchemy is a SQLAlchemy dialect that enables seamless interaction with ClickHouse databases, supporting multiple connection interfaces and providing ORM capabilities for efficient data analytics.</span>
 750 |                     </li>
 751 |                 </ul>
 752 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 753 |                 </section>
 754 |             
 755 |             <section aria-labelledby="ruby"><h3 id="ruby">Ruby</h3>
 756 |                 <ul aria-label="List of Ruby items">
 757 |                     <li>
 758 |                         <a href="https://github.com/PNixx/clickhouse-activerecord" aria-label="PNixx/clickhouse-activerecord - 238 stars, Ruby" target="_blank" rel="noopener">PNixx/clickhouse-activerecord</a>
 759 |                         <span class="stars" aria-hidden="true">⭐ 238</span>
 760 |                         <span class="language" aria-hidden="true">Ruby</span> -
 761 |                         <span>A Ruby ActiveRecord driver enabling seamless integration and management of ClickHouse databases within Ruby on Rails applications.</span>
 762 |                     </li>
 763 |                     <li>
 764 |                         <a href="https://github.com/shlima/click_house" aria-label="shlima/click_house - 192 stars, Ruby" target="_blank" rel="noopener">shlima/click_house</a>
 765 |                         <span class="stars" aria-hidden="true">⭐ 192</span>
 766 |                         <span class="language" aria-hidden="true">Ruby</span> -
 767 |                         <span>A modern Ruby database driver providing a comprehensive and efficient interface to interact with ClickHouse databases via the HTTP protocol.</span>
 768 |                     </li>
 769 |                 </ul>
 770 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 771 |                 </section>
 772 |             
 773 |             <section aria-labelledby="rust"><h3 id="rust">Rust</h3>
 774 |                 <ul aria-label="List of Rust items">
 775 |                     <li>
 776 |                         <a href="https://github.com/ClickHouse/clickhouse-rs" aria-label="ClickHouse/clickhouse-rs - 479 stars, Rust" target="_blank" rel="noopener">ClickHouse/clickhouse-rs</a>
 777 |                         <span class="stars" aria-hidden="true">⭐ 479</span>
 778 |                         <span class="language" aria-hidden="true">Rust</span> -
 779 |                         <span>clickhouse-rs is the official pure Rust typed client for ClickHouse DB, providing efficient, secure, and feature-rich database interaction capabilities.</span>
 780 |                     </li>
 781 |                     <li>
 782 |                         <a href="https://github.com/Protryon/klickhouse" aria-label="Protryon/klickhouse - 118 stars, Rust" target="_blank" rel="noopener">Protryon/klickhouse</a>
 783 |                         <span class="stars" aria-hidden="true">⭐ 118</span>
 784 |                         <span class="language" aria-hidden="true">Rust</span> -
 785 |                         <span>Klickhouse is a high-performance Rust SDK for accessing Clickhouse databases asynchronously with minimal boilerplate and extensive feature support.</span>
 786 |                     </li>
 787 |                     <li>
 788 |                         <a href="https://github.com/langdb/ai-gateway" aria-label="langdb/ai-gateway - 692 stars, Rust" target="_blank" rel="noopener">langdb/ai-gateway</a>
 789 |                         <span class="stars" aria-hidden="true">⭐ 692</span>
 790 |                         <span class="language" aria-hidden="true">Rust</span> -
 791 |                         <span>LangDB AI Gateway is an open-source enterprise AI gateway built in Rust that provides a unified interface to multiple LLMs using the OpenAI API format, focusing on performance, reliability, and enterprise-grade features including cost control, routing, and data security.</span>
 792 |                     </li>
 793 |                     <li>
 794 |                         <a href="https://github.com/quarylabs/sqruff" aria-label="quarylabs/sqruff - 1141 stars, Rust" target="_blank" rel="noopener">quarylabs/sqruff</a>
 795 |                         <span class="stars" aria-hidden="true">⭐ 1141</span>
 796 |                         <span class="language" aria-hidden="true">Rust</span> -
 797 |                         <span>sqruff is a fast and customizable SQL formatter and linter supporting multiple SQL dialects including Clickhouse, designed to ensure SQL code quality and consistency across development workflows.</span>
 798 |                     </li>
 799 |                     <li>
 800 |                         <a href="https://github.com/subzerocloud/showcase" aria-label="subzerocloud/showcase - 162 stars, TypeScript" target="_blank" rel="noopener">subzerocloud/showcase</a>
 801 |                         <span class="stars" aria-hidden="true">⭐ 162</span>
 802 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 803 |                         <span>subZero is a Rust-based library with JS/TS bindings that enables customizable, PostgREST-compatible REST APIs on multiple databases including ClickHouse, supporting advanced queries and authentication out of the box.</span>
 804 |                     </li>
 805 |                     <li>
 806 |                         <a href="https://github.com/suharev7/clickhouse-rs" aria-label="suharev7/clickhouse-rs - 342 stars, Rust" target="_blank" rel="noopener">suharev7/clickhouse-rs</a>
 807 |                         <span class="stars" aria-hidden="true">⭐ 342</span>
 808 |                         <span class="language" aria-hidden="true">Rust</span> -
 809 |                         <span>An asynchronous Rust client library for efficient and feature-rich interaction with Yandex ClickHouse databases.</span>
 810 |                     </li>
 811 |                 </ul>
 812 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 813 |                 </section>
 814 |             
 815 |             <section aria-labelledby="scala"><h3 id="scala">Scala</h3>
 816 |                 <ul aria-label="List of Scala items">
 817 |                     <li>
 818 |                         <a href="https://github.com/ClickHouse/spark-clickhouse-connector" aria-label="ClickHouse/spark-clickhouse-connector - 210 stars, Scala" target="_blank" rel="noopener">ClickHouse/spark-clickhouse-connector</a>
 819 |                         <span class="stars" aria-hidden="true">⭐ 210</span>
 820 |                         <span class="language" aria-hidden="true">Scala</span> -
 821 |                         <span>Spark ClickHouse Connector is a project that integrates Apache Spark with ClickHouse using the DataSourceV2 API to enable efficient data processing and analytics.</span>
 822 |                     </li>
 823 |                     <li>
 824 |                         <a href="https://github.com/apache/incubator-gluten" aria-label="apache/incubator-gluten - 1488 stars, Scala" target="_blank" rel="noopener">apache/incubator-gluten</a>
 825 |                         <span class="stars" aria-hidden="true">⭐ 1488</span>
 826 |                         <span class="language" aria-hidden="true">Scala</span> -
 827 |                         <span>Apache Gluten is an incubating project that accelerates JVM-based SQL engines like Spark SQL by offloading compute-intensive tasks to native engines such as ClickHouse and Velox, enhancing performance while maintaining Spark's scalability and API compatibility.</span>
 828 |                     </li>
 829 |                     <li>
 830 |                         <a href="https://github.com/crobox/clickhouse-scala-client" aria-label="crobox/clickhouse-scala-client - 119 stars, Scala" target="_blank" rel="noopener">crobox/clickhouse-scala-client</a>
 831 |                         <span class="stars" aria-hidden="true">⭐ 119</span>
 832 |                         <span class="language" aria-hidden="true">Scala</span> -
 833 |                         <span>A reactive Scala client for Clickhouse database providing streaming query execution, load balancing, health checks, and cluster-aware connection support.</span>
 834 |                     </li>
 835 |                 </ul>
 836 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 837 |                 </section>
 838 |             
 839 |             <section aria-labelledby="other-sdk/libraries"><h3 id="other-sdk/libraries">Other sdk/libraries</h3>
 840 |                 <ul aria-label="List of Other sdk/libraries items">
 841 |                     <li>
 842 |                         <a href="https://github.com/Percona-Lab/clickhousedb_fdw" aria-label="Percona-Lab/clickhousedb_fdw - 206 stars, C" target="_blank" rel="noopener">Percona-Lab/clickhousedb_fdw</a>
 843 |                         <span class="stars" aria-hidden="true">⭐ 206</span>
 844 |                         <span class="language" aria-hidden="true">C</span> -
 845 |                         <span>clickhousedb_fdw is an open-source Foreign Data Wrapper that enables seamless querying and data manipulation between PostgreSQL and the high-performance ClickHouse column-store database.</span>
 846 |                     </li>
 847 |                     <li>
 848 |                         <a href="https://github.com/ildus/clickhouse_fdw" aria-label="ildus/clickhouse_fdw - 274 stars, C++" target="_blank" rel="noopener">ildus/clickhouse_fdw</a>
 849 |                         <span class="stars" aria-hidden="true">⭐ 274</span>
 850 |                         <span class="language" aria-hidden="true">C++</span> -
 851 |                         <span>clickhouse_fdw is an open-source Foreign Data Wrapper that enables seamless integration and querying of ClickHouse column-oriented database data within PostgreSQL.</span>
 852 |                     </li>
 853 |                 </ul>
 854 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 855 |                 </section>
 856 |             </section>
 857 |             
 858 |             <section aria-labelledby="uis"><h2 id="uis">UIs</h2>
 859 |                 
 860 |                 
 861 |             <section aria-labelledby="gui"><h3 id="gui">GUI</h3>
 862 |                 <ul aria-label="List of GUI items">
 863 |                     <li>
 864 |                         <a href="https://github.com/ClickHouse/click-ui" aria-label="ClickHouse/click-ui - 110 stars, TypeScript" target="_blank" rel="noopener">ClickHouse/click-ui</a>
 865 |                         <span class="stars" aria-hidden="true">⭐ 110</span>
 866 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 867 |                         <span>Click UI is the early-stage design system and component library for building ClickHouse-themed user interfaces with support for popular frameworks and theming.</span>
 868 |                     </li>
 869 |                     <li>
 870 |                         <a href="https://github.com/CodePhiliaX/Chat2DB" aria-label="CodePhiliaX/Chat2DB - 24824 stars, Java" target="_blank" rel="noopener">CodePhiliaX/Chat2DB</a>
 871 |                         <span class="stars" aria-hidden="true">⭐ 24824</span>
 872 |                         <span class="language" aria-hidden="true">Java</span> -
 873 |                         <span>Chat2DB is an AI-driven, intelligent, and versatile SQL client and database management tool supporting multiple databases including ClickHouse, designed to enhance SQL development and data reporting with integrated AI capabilities.</span>
 874 |                     </li>
 875 |                     <li>
 876 |                         <a href="https://github.com/DataPupOrg/DataPup" aria-label="DataPupOrg/DataPup - 281 stars, TypeScript" target="_blank" rel="noopener">DataPupOrg/DataPup</a>
 877 |                         <span class="stars" aria-hidden="true">⭐ 281</span>
 878 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 879 |                         <span>DataPup is a modern, AI-assisted, cross-platform database client with full support for ClickHouse and plans to support other major databases, designed to make database management intuitive and enjoyable.</span>
 880 |                     </li>
 881 |                     <li>
 882 |                         <a href="https://github.com/DataflareApp/Dataflare" aria-label="DataflareApp/Dataflare - 223 stars, " target="_blank" rel="noopener">DataflareApp/Dataflare</a>
 883 |                         <span class="stars" aria-hidden="true">⭐ 223</span>
 884 |                         <span class="language" aria-hidden="true"></span> -
 885 |                         <span>Dataflare is a simple, easy-to-use database manager supporting multiple databases including ClickHouse, designed for efficient database connection, management, and querying.</span>
 886 |                     </li>
 887 |                     <li>
 888 |                         <a href="https://github.com/HouseOps/HouseOps" aria-label="HouseOps/HouseOps - 341 stars, JavaScript" target="_blank" rel="noopener">HouseOps/HouseOps</a>
 889 |                         <span class="stars" aria-hidden="true">⭐ 341</span>
 890 |                         <span class="language" aria-hidden="true">JavaScript</span> -
 891 |                         <span>HouseOps is an enterprise ClickHouse client that provides a graphical interface for querying, monitoring, and managing ClickHouse database clusters.</span>
 892 |                     </li>
 893 |                     <li>
 894 |                         <a href="https://github.com/agnosticeng/agx" aria-label="agnosticeng/agx - 173 stars, Svelte" target="_blank" rel="noopener">agnosticeng/agx</a>
 895 |                         <span class="stars" aria-hidden="true">⭐ 173</span>
 896 |                         <span class="language" aria-hidden="true">Svelte</span> -
 897 |                         <span>agx is an AI-powered integrated analytics desktop application that enables interactive data exploration and querying using ClickHouse's embedded database or a remote ClickHouse server.</span>
 898 |                     </li>
 899 |                     <li>
 900 |                         <a href="https://github.com/caioricciuti/ch-ui" aria-label="caioricciuti/ch-ui - 545 stars, TypeScript" target="_blank" rel="noopener">caioricciuti/ch-ui</a>
 901 |                         <span class="stars" aria-hidden="true">⭐ 545</span>
 902 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 903 |                         <span>CH-UI is a modern, feature-rich web interface designed for seamless management, querying, and visualization of ClickHouse databases with advanced SQL editing and performance monitoring capabilities.</span>
 904 |                     </li>
 905 |                     <li>
 906 |                         <a href="https://github.com/dbgate/dbgate" aria-label="dbgate/dbgate - 6596 stars, Svelte" target="_blank" rel="noopener">dbgate/dbgate</a>
 907 |                         <span class="stars" aria-hidden="true">⭐ 6596</span>
 908 |                         <span class="language" aria-hidden="true">Svelte</span> -
 909 |                         <span>DbGate is a cross-platform, open-source database management tool supporting multiple databases including ClickHouse, offering advanced features like visual query design, schema comparison, and data visualization.</span>
 910 |                     </li>
 911 |                     <li>
 912 |                         <a href="https://github.com/devlive-community/dbm" aria-label="devlive-community/dbm - 406 stars, TypeScript" target="_blank" rel="noopener">devlive-community/dbm</a>
 913 |                         <span class="stars" aria-hidden="true">⭐ 406</span>
 914 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 915 |                         <span>DBM is an open-source, full-platform database management tool supporting multiple SQL-speaking databases including ClickHouse, offering comprehensive features for query, table, column, and database management along with monitoring and data migration capabilities.</span>
 916 |                     </li>
 917 |                     <li>
 918 |                         <a href="https://github.com/flant/loghouse" aria-label="flant/loghouse - 930 stars, Ruby" target="_blank" rel="noopener">flant/loghouse</a>
 919 |                         <span class="stars" aria-hidden="true">⭐ 930</span>
 920 |                         <span class="language" aria-hidden="true">Ruby</span> -
 921 |                         <span>Loghouse is an open-source log management solution for Kubernetes that uses ClickHouse for efficient log storage and provides a web UI for querying and monitoring logs.</span>
 922 |                     </li>
 923 |                     <li>
 924 |                         <a href="https://github.com/frectonz/sql-studio" aria-label="frectonz/sql-studio - 3371 stars, Rust" target="_blank" rel="noopener">frectonz/sql-studio</a>
 925 |                         <span class="stars" aria-hidden="true">⭐ 3371</span>
 926 |                         <span class="language" aria-hidden="true">Rust</span> -
 927 |                         <span>SQL Studio is a single binary SQL database explorer supporting multiple databases including SQLite, PostgreSQL, MySQL, ClickHouse, and Microsoft SQL Server, offering rich features like metadata overview, query execution with IntelliSense, and infinite scrolling.</span>
 928 |                     </li>
 929 |                     <li>
 930 |                         <a href="https://github.com/l1xnan/duckling" aria-label="l1xnan/duckling - 514 stars, TypeScript" target="_blank" rel="noopener">l1xnan/duckling</a>
 931 |                         <span class="stars" aria-hidden="true">⭐ 514</span>
 932 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 933 |                         <span>Duckling is a lightweight desktop application built with Tauri for fast browsing of CSV/Parquet files and various databases including Clickhouse.</span>
 934 |                     </li>
 935 |                     <li>
 936 |                         <a href="https://github.com/metrico/clickhouse-mate" aria-label="metrico/clickhouse-mate - 102 stars, TypeScript" target="_blank" rel="noopener">metrico/clickhouse-mate</a>
 937 |                         <span class="stars" aria-hidden="true">⭐ 102</span>
 938 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 939 |                         <span>ClickHouse-Mate is an advanced web-based user interface and client for efficiently managing and querying ClickHouse databases with features like SQL autocompletion, fast navigation, and inline documentation.</span>
 940 |                     </li>
 941 |                     <li>
 942 |                         <a href="https://github.com/smi2/clickhouse-frontend" aria-label="smi2/clickhouse-frontend - 162 stars, JavaScript" target="_blank" rel="noopener">smi2/clickhouse-frontend</a>
 943 |                         <span class="stars" aria-hidden="true">⭐ 162</span>
 944 |                         <span class="language" aria-hidden="true">JavaScript</span> -
 945 |                         <span>This repository is the deprecated frontend project TABIX for ClickHouse, now replaced by the updated tabix.ui repository.</span>
 946 |                     </li>
 947 |                     <li>
 948 |                         <a href="https://github.com/tabixio/tabix" aria-label="tabixio/tabix - 2262 stars, TypeScript" target="_blank" rel="noopener">tabixio/tabix</a>
 949 |                         <span class="stars" aria-hidden="true">⭐ 2262</span>
 950 |                         <span class="language" aria-hidden="true">TypeScript</span> -
 951 |                         <span>Tabix.io UI is an open-source business intelligence and SQL editor tool designed for efficient interaction with ClickHouse databases.</span>
 952 |                     </li>
 953 |                     <li>
 954 |                         <a href="https://github.com/timestored/qstudio" aria-label="timestored/qstudio - 1006 stars, Java" target="_blank" rel="noopener">timestored/qstudio</a>
 955 |                         <span class="stars" aria-hidden="true">⭐ 1006</span>
 956 |                         <span class="language" aria-hidden="true">Java</span> -
 957 |                         <span>qStudio is a free, cross-platform SQL client and notebook that supports numerous databases including ClickHouse, offering features like query execution, data visualization, and AI-powered SQL assistance.</span>
 958 |                     </li>
 959 |                 </ul>
 960 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
 961 |                 </section>
 962 |             
 963 |             <section aria-labelledby="cli"><h3 id="cli">CLI</h3>
 964 |                 <ul aria-label="List of CLI items">
 965 |                     <li>
 966 |                         <a href="https://github.com/ClickHouse/JSONBench" aria-label="ClickHouse/JSONBench - 160 stars, Shell" target="_blank" rel="noopener">ClickHouse/JSONBench</a>
 967 |                         <span class="stars" aria-hidden="true">⭐ 160</span>
 968 |                         <span class="language" aria-hidden="true">Shell</span> -
 969 |                         <span>JSONBench is a benchmarking project that evaluates and compares the native JSON support of popular analytical databases including ClickHouse using a large real-world dataset of Bluesky events.</span>
 970 |                     </li>
 971 |                     <li>
 972 |                         <a href="https://github.com/Slach/clickhouse-flamegraph" aria-label="Slach/clickhouse-flamegraph - 212 stars, Go" target="_blank" rel="noopener">Slach/clickhouse-flamegraph</a>
 973 |                         <span class="stars" aria-hidden="true">⭐ 212</span>
 974 |                         <span class="language" aria-hidden="true">Go</span> -
 975 |                         <span>clickhouse-flamegraph is a command-line utility for visualizing ClickHouse system.trace_log data as flamegraphs to analyze query performance and resource usage.</span>
 976 |                     </li>
 977 |                     <li>
 978 |                         <a href="https://github.com/amacneil/dbmate" aria-label="amacneil/dbmate - 6566 stars, Go" target="_blank" rel="noopener">amacneil/dbmate</a>
 979 |                         <span class="stars" aria-hidden="true">⭐ 6566</span>
 980 |                         <span class="language" aria-hidden="true">Go</span> -
 981 |                         <span>Dbmate is a lightweight, framework-agnostic database migration tool that supports multiple databases including ClickHouse, enabling consistent schema management across diverse development environments.</span>
 982 |                     </li>
 983 |                     <li>
 984 |                         <a href="https://github.com/azat/chdig" aria-label="azat/chdig - 258 stars, Rust" target="_blank" rel="noopener">azat/chdig</a>
 985 |                         <span class="stars" aria-hidden="true">⭐ 258</span>
 986 |                         <span class="language" aria-hidden="true">Rust</span> -
 987 |                         <span>Chdig is a terminal user interface tool designed to provide interactive introspection, monitoring, and debugging capabilities for ClickHouse database systems.</span>
 988 |                     </li>
 989 |                     <li>
 990 |                         <a href="https://github.com/hatarist/clickhouse-cli" aria-label="hatarist/clickhouse-cli - 262 stars, Python" target="_blank" rel="noopener">hatarist/clickhouse-cli</a>
 991 |                         <span class="stars" aria-hidden="true">⭐ 262</span>
 992 |                         <span class="language" aria-hidden="true">Python</span> -
 993 |                         <span>An unofficial command-line client for the ClickHouse DBMS server offering enhanced features like autocompletion, syntax highlighting, multiquery support, and user-defined functions over HTTP.</span>
 994 |                     </li>
 995 |                     <li>
 996 |                         <a href="https://github.com/sqitchers/sqitch" aria-label="sqitchers/sqitch - 3081 stars, Perl" target="_blank" rel="noopener">sqitchers/sqitch</a>
 997 |                         <span class="stars" aria-hidden="true">⭐ 3081</span>
 998 |                         <span class="language" aria-hidden="true">Perl</span> -
 999 |                         <span>Sqitch is a versatile and framework-agnostic database change management tool supporting multiple database engines including ClickHouse, emphasizing native scripting, dependency resolution, and deployment integrity.</span>
1000 |                     </li>
1001 |                 </ul>
1002 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1003 |                 </section>
1004 |             
1005 |             <section aria-labelledby="chui(chat-based-user-interface)-or-chubaca(chat-based-client:)"><h3 id="chui(chat-based-user-interface)-or-chubaca(chat-based-client:)">CHUI(Chat-based User Interface) or CHUBACA(Chat-Based Client:)</h3>
1006 |                 <ul aria-label="List of CHUI(Chat-based User Interface) or CHUBACA(Chat-Based Client:) items">
1007 |                     <li>
1008 |                         <a href="https://github.com/centralmind/gateway" aria-label="centralmind/gateway - 503 stars, Go" target="_blank" rel="noopener">centralmind/gateway</a>
1009 |                         <span class="stars" aria-hidden="true">⭐ 503</span>
1010 |                         <span class="language" aria-hidden="true">Go</span> -
1011 |                         <span>CentralMind Gateway is a universal MCP-Server that automatically generates secure, LLM-optimized APIs for multiple structured databases including ClickHouse, enabling AI agents to access data efficiently and compliantly.</span>
1012 |                     </li>
1013 |                     <li>
1014 |                         <a href="https://github.com/clidey/whodb" aria-label="clidey/whodb - 4375 stars, TypeScript" target="_blank" rel="noopener">clidey/whodb</a>
1015 |                         <span class="stars" aria-hidden="true">⭐ 4375</span>
1016 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1017 |                         <span>WhoDB is a lightweight, high-performance database management tool supporting multiple databases including Clickhouse, featuring a natural language chat interface for intuitive data interaction.</span>
1018 |                     </li>
1019 |                     <li>
1020 |                         <a href="https://github.com/googleapis/genai-toolbox" aria-label="googleapis/genai-toolbox - 11779 stars, Go" target="_blank" rel="noopener">googleapis/genai-toolbox</a>
1021 |                         <span class="stars" aria-hidden="true">⭐ 11779</span>
1022 |                         <span class="language" aria-hidden="true">Go</span> -
1023 |                         <span>MCP Toolbox for Databases is an open-source MCP server that simplifies and secures the development of AI-powered database tools by handling backend complexities and enabling natural language interaction with databases.</span>
1024 |                     </li>
1025 |                     <li>
1026 |                         <a href="https://github.com/sqlchat/sqlchat" aria-label="sqlchat/sqlchat - 5554 stars, TypeScript" target="_blank" rel="noopener">sqlchat/sqlchat</a>
1027 |                         <span class="stars" aria-hidden="true">⭐ 5554</span>
1028 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1029 |                         <span>SQL Chat is a chat-based SQL client that uses natural language to interact with databases, supporting multiple database types and offering both hosted and self-hosted options for intuitive database management.</span>
1030 |                     </li>
1031 |                     <li>
1032 |                         <a href="https://github.com/wannabespace/conar" aria-label="wannabespace/conar - 1125 stars, TypeScript" target="_blank" rel="noopener">wannabespace/conar</a>
1033 |                         <span class="stars" aria-hidden="true">⭐ 1125</span>
1034 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1035 |                         <span>Conar is an AI-powered open-source tool that simplifies and secures interactions with multiple databases including PostgreSQL, MySQL, MSSQL, and Clickhouse by providing intelligent SQL query assistance and optimization.</span>
1036 |                     </li>
1037 |                 </ul>
1038 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1039 |                 </section>
1040 |             </section>
1041 |             
1042 |             <section aria-labelledby="integrations"><h2 id="integrations">Integrations</h2>
1043 |                 
1044 |                 
1045 |             <section aria-labelledby="data-transfer-and-synchronization"><h3 id="data-transfer-and-synchronization">Data Transfer and Synchronization</h3>
1046 |                 <ul aria-label="List of Data Transfer and Synchronization items">
1047 |                     <li>
1048 |                         <a href="https://github.com/Altinity/clickhouse-sink-connector" aria-label="Altinity/clickhouse-sink-connector - 296 stars, Python" target="_blank" rel="noopener">Altinity/clickhouse-sink-connector</a>
1049 |                         <span class="stars" aria-hidden="true">⭐ 296</span>
1050 |                         <span class="language" aria-hidden="true">Python</span> -
1051 |                         <span>Altinity Sink Connector is a scalable tool for replicating data from MySQL, PostgreSQL, and MongoDB to ClickHouse for efficient analytical processing.</span>
1052 |                     </li>
1053 |                     <li>
1054 |                         <a href="https://github.com/ClickHouse/clickhouse-kafka-connect" aria-label="ClickHouse/clickhouse-kafka-connect - 191 stars, Java" target="_blank" rel="noopener">ClickHouse/clickhouse-kafka-connect</a>
1055 |                         <span class="stars" aria-hidden="true">⭐ 191</span>
1056 |                         <span class="language" aria-hidden="true">Java</span> -
1057 |                         <span>ClickHouse Kafka Connect Sink is the official Kafka Connect sink connector that enables efficient and reliable data transfer from Kafka topics to ClickHouse tables with exactly-once delivery semantics.</span>
1058 |                     </li>
1059 |                     <li>
1060 |                         <a href="https://github.com/QuesmaOrg/quesma" aria-label="QuesmaOrg/quesma - 173 stars, Go" target="_blank" rel="noopener">QuesmaOrg/quesma</a>
1061 |                         <span class="stars" aria-hidden="true">⭐ 173</span>
1062 |                         <span class="language" aria-hidden="true">Go</span> -
1063 |                         <span>Quesma is a programmable database gateway that enables seamless query translation and migration between modern database platforms, currently supporting integration of Kibana/OpenSearch Dashboards with Clickhouse.</span>
1064 |                     </li>
1065 |                     <li>
1066 |                         <a href="https://github.com/apecloud/ape-dts" aria-label="apecloud/ape-dts - 537 stars, Rust" target="_blank" rel="noopener">apecloud/ape-dts</a>
1067 |                         <span class="stars" aria-hidden="true">⭐ 537</span>
1068 |                         <span class="language" aria-hidden="true">Rust</span> -
1069 |                         <span>Ape Data Transfer Suite (ape-dts) is a high-performance, lightweight data migration and replication tool supporting ultra-fast transfers between MySQL, PostgreSQL, Redis, MongoDB, Kafka, and ClickHouse, ideal for disaster recovery and migration scenarios.</span>
1070 |                     </li>
1071 |                     <li>
1072 |                         <a href="https://github.com/getdozer/dozer" aria-label="getdozer/dozer - 1572 stars, Rust" target="_blank" rel="noopener">getdozer/dozer</a>
1073 |                         <span class="stars" aria-hidden="true">⭐ 1572</span>
1074 |                         <span class="language" aria-hidden="true">Rust</span> -
1075 |                         <span>Dozer is a high-performance real-time data movement tool leveraging CDC to transfer and transform data efficiently into multiple sinks including Clickhouse.</span>
1076 |                     </li>
1077 |                     <li>
1078 |                         <a href="https://github.com/housepower/clickhouse_sinker" aria-label="housepower/clickhouse_sinker - 533 stars, Go" target="_blank" rel="noopener">housepower/clickhouse_sinker</a>
1079 |                         <span class="stars" aria-hidden="true">⭐ 533</span>
1080 |                         <span class="language" aria-hidden="true">Go</span> -
1081 |                         <span>clickhouse_sinker is a sinker program that efficiently transfers Kafka messages into ClickHouse for real-time data analytics and storage.</span>
1082 |                     </li>
1083 |                     <li>
1084 |                         <a href="https://github.com/jitsucom/jitsu" aria-label="jitsucom/jitsu - 4598 stars, TypeScript" target="_blank" rel="noopener">jitsucom/jitsu</a>
1085 |                         <span class="stars" aria-hidden="true">⭐ 4598</span>
1086 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1087 |                         <span>Jitsu is an open-source, self-hosted data ingestion platform that enables real-time event data collection and streaming to data warehouses, including ClickHouse, as an alternative to Segment.</span>
1088 |                     </li>
1089 |                     <li>
1090 |                         <a href="https://github.com/long2ice/synch" aria-label="long2ice/synch - 354 stars, Python" target="_blank" rel="noopener">long2ice/synch</a>
1091 |                         <span class="stars" aria-hidden="true">⭐ 354</span>
1092 |                         <span class="language" aria-hidden="true">Python</span> -
1093 |                         <span>Synch is a data synchronization tool that enables full and incremental ETL from PostgreSQL and MySQL databases to ClickHouse, supporting real-time data integration and multiple broker options.</span>
1094 |                     </li>
1095 |                     <li>
1096 |                         <a href="https://github.com/mintance/nginx-clickhouse" aria-label="mintance/nginx-clickhouse - 157 stars, Go" target="_blank" rel="noopener">mintance/nginx-clickhouse</a>
1097 |                         <span class="stars" aria-hidden="true">⭐ 157</span>
1098 |                         <span class="language" aria-hidden="true">Go</span> -
1099 |                         <span>nginx-clickhouse is a tool that parses NGINX logs and transports them into a ClickHouse database for efficient storage and analysis.</span>
1100 |                     </li>
1101 |                     <li>
1102 |                         <a href="https://github.com/nikepan/clickhouse-bulk" aria-label="nikepan/clickhouse-bulk - 504 stars, Go" target="_blank" rel="noopener">nikepan/clickhouse-bulk</a>
1103 |                         <span class="stars" aria-hidden="true">⭐ 504</span>
1104 |                         <span class="language" aria-hidden="true">Go</span> -
1105 |                         <span>ClickHouse-Bulk is a tool that collects many small insert requests and sends them as larger bulk inserts to Yandex ClickHouse servers to improve data ingestion efficiency.</span>
1106 |                     </li>
1107 |                     <li>
1108 |                         <a href="https://github.com/uber/storagetapper" aria-label="uber/storagetapper - 363 stars, Go" target="_blank" rel="noopener">uber/storagetapper</a>
1109 |                         <span class="stars" aria-hidden="true">⭐ 363</span>
1110 |                         <span class="language" aria-hidden="true">Go</span> -
1111 |                         <span>StorageTapper is a scalable real-time MySQL change data streaming, logical backup, and replication service supporting multiple data destinations including experimental Clickhouse integration.</span>
1112 |                     </li>
1113 |                     <li>
1114 |                         <a href="https://github.com/zeromicro/cds" aria-label="zeromicro/cds - 980 stars, Go" target="_blank" rel="noopener">zeromicro/cds</a>
1115 |                         <span class="stars" aria-hidden="true">⭐ 980</span>
1116 |                         <span class="language" aria-hidden="true">Go</span> -
1117 |                         <span>Zeromicro/cds is a Go-based tool for real-time data synchronization from MySQL and MongoDB to ClickHouse, supporting both full and incremental sync with a user-friendly web interface.</span>
1118 |                     </li>
1119 |                 </ul>
1120 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1121 |                 </section>
1122 |             
1123 |             <section aria-labelledby="metrics-and-monitoring"><h3 id="metrics-and-monitoring">Metrics and Monitoring</h3>
1124 |                 <ul aria-label="List of Metrics and Monitoring items">
1125 |                     <li>
1126 |                         <a href="https://github.com/ClickHouse/clickhouse_exporter" aria-label="ClickHouse/clickhouse_exporter - 396 stars, Go" target="_blank" rel="noopener">ClickHouse/clickhouse_exporter</a>
1127 |                         <span class="stars" aria-hidden="true">⭐ 396</span>
1128 |                         <span class="language" aria-hidden="true">Go</span> -
1129 |                         <span>ClickHouse Exporter for Prometheus is a server that scrapes metrics from older ClickHouse versions and exports them via HTTP for Prometheus monitoring.</span>
1130 |                     </li>
1131 |                     <li>
1132 |                         <a href="https://github.com/ClickHouse/graphouse" aria-label="ClickHouse/graphouse - 259 stars, Java" target="_blank" rel="noopener">ClickHouse/graphouse</a>
1133 |                         <span class="stars" aria-hidden="true">⭐ 259</span>
1134 |                         <span class="language" aria-hidden="true">Java</span> -
1135 |                         <span>Graphouse enables the use of ClickHouse as a high-performance storage backend for Graphite metrics, providing TCP and HTTP APIs for metric ingestion, search, and management.</span>
1136 |                     </li>
1137 |                     <li>
1138 |                         <a href="https://github.com/ClickHouse/kubenetmon" aria-label="ClickHouse/kubenetmon - 160 stars, Go" target="_blank" rel="noopener">ClickHouse/kubenetmon</a>
1139 |                         <span class="stars" aria-hidden="true">⭐ 160</span>
1140 |                         <span class="language" aria-hidden="true">Go</span> -
1141 |                         <span>kubenetmon is an open source Kubernetes network metering solution by ClickHouse that collects and analyzes network traffic data across major cloud providers using ClickHouse as the backend analytics engine.</span>
1142 |                     </li>
1143 |                     <li>
1144 |                         <a href="https://github.com/Percona-Lab/PromHouse" aria-label="Percona-Lab/PromHouse - 262 stars, Go" target="_blank" rel="noopener">Percona-Lab/PromHouse</a>
1145 |                         <span class="stars" aria-hidden="true">⭐ 262</span>
1146 |                         <span class="language" aria-hidden="true">Go</span> -
1147 |                         <span>PromHouse is a long-term remote storage solution for Prometheus 2.x metrics built on ClickHouse, featuring clustering and downsampling capabilities for efficient time series data management.</span>
1148 |                     </li>
1149 |                     <li>
1150 |                         <a href="https://github.com/Swetrix/swetrix" aria-label="Swetrix/swetrix - 781 stars, TypeScript" target="_blank" rel="noopener">Swetrix/swetrix</a>
1151 |                         <span class="stars" aria-hidden="true">⭐ 781</span>
1152 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1153 |                         <span>Swetrix is an open source, privacy-focused, cookie-less web analytics platform that uses Clickhouse for efficient statistical data management and offers self-hosting or cloud deployment options.</span>
1154 |                     </li>
1155 |                     <li>
1156 |                         <a href="https://github.com/burningalchemist/sql_exporter" aria-label="burningalchemist/sql_exporter - 488 stars, Go" target="_blank" rel="noopener">burningalchemist/sql_exporter</a>
1157 |                         <span class="stars" aria-hidden="true">⭐ 488</span>
1158 |                         <span class="language" aria-hidden="true">Go</span> -
1159 |                         <span>SQL Exporter for Prometheus is a configuration-driven tool that collects and exposes metrics from various databases, including Clickhouse, for monitoring with Prometheus.</span>
1160 |                     </li>
1161 |                     <li>
1162 |                         <a href="https://github.com/go-graphite/carbon-clickhouse" aria-label="go-graphite/carbon-clickhouse - 196 stars, Go" target="_blank" rel="noopener">go-graphite/carbon-clickhouse</a>
1163 |                         <span class="stars" aria-hidden="true">⭐ 196</span>
1164 |                         <span class="language" aria-hidden="true">Go</span> -
1165 |                         <span>carbon-clickhouse is a Graphite metrics receiver that uses ClickHouse as a high-performance storage backend, supporting multiple ingestion protocols and flexible configuration for efficient metrics management.</span>
1166 |                     </li>
1167 |                     <li>
1168 |                         <a href="https://github.com/go-graphite/graphite-clickhouse" aria-label="go-graphite/graphite-clickhouse - 223 stars, Go" target="_blank" rel="noopener">go-graphite/graphite-clickhouse</a>
1169 |                         <span class="stars" aria-hidden="true">⭐ 223</span>
1170 |                         <span class="language" aria-hidden="true">Go</span> -
1171 |                         <span>Graphite-clickhouse is a backend solution that integrates Graphite clusters with ClickHouse to enhance time-series data storage and query performance.</span>
1172 |                     </li>
1173 |                     <li>
1174 |                         <a href="https://github.com/hyperdxio/hyperdx" aria-label="hyperdxio/hyperdx - 9155 stars, TypeScript" target="_blank" rel="noopener">hyperdxio/hyperdx</a>
1175 |                         <span class="stars" aria-hidden="true">⭐ 9155</span>
1176 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1177 |                         <span>HyperDX is an open source observability platform powered by Clickhouse and OpenTelemetry that centralizes and correlates logs, metrics, traces, errors, and session replays to help engineers quickly resolve production issues.</span>
1178 |                     </li>
1179 |                     <li>
1180 |                         <a href="https://github.com/jaegertracing/jaeger-clickhouse" aria-label="jaegertracing/jaeger-clickhouse - 269 stars, Go" target="_blank" rel="noopener">jaegertracing/jaeger-clickhouse</a>
1181 |                         <span class="stars" aria-hidden="true">⭐ 269</span>
1182 |                         <span class="language" aria-hidden="true">Go</span> -
1183 |                         <span>Jaeger ClickHouse is an experimental gRPC storage plugin that integrates Jaeger distributed tracing with ClickHouse for efficient trace data storage and querying.</span>
1184 |                     </li>
1185 |                     <li>
1186 |                         <a href="https://github.com/justwatchcom/sql_exporter" aria-label="justwatchcom/sql_exporter - 482 stars, Go" target="_blank" rel="noopener">justwatchcom/sql_exporter</a>
1187 |                         <span class="stars" aria-hidden="true">⭐ 482</span>
1188 |                         <span class="language" aria-hidden="true">Go</span> -
1189 |                         <span>A flexible SQL Exporter for Prometheus that runs user-defined SQL queries on multiple databases including ClickHouse and exports the results as metrics for monitoring.</span>
1190 |                     </li>
1191 |                     <li>
1192 |                         <a href="https://github.com/metrico/gigapipe" aria-label="metrico/gigapipe - 1609 stars, Go" target="_blank" rel="noopener">metrico/gigapipe</a>
1193 |                         <span class="stars" aria-hidden="true">⭐ 1609</span>
1194 |                         <span class="language" aria-hidden="true">Go</span> -
1195 |                         <span>Gigapipe is a lightweight, polyglot observability stack that supports logs, metrics, traces, and profiling with compatibility for Loki, Prometheus, Tempo, Pyroscope, and OpenTelemetry, powered by ClickHouse and Bun for efficient data ingestion and querying.</span>
1196 |                     </li>
1197 |                     <li>
1198 |                         <a href="https://github.com/mindis/prom2click" aria-label="mindis/prom2click - 165 stars, Go" target="_blank" rel="noopener">mindis/prom2click</a>
1199 |                         <span class="stars" aria-hidden="true">⭐ 165</span>
1200 |                         <span class="language" aria-hidden="true">Go</span> -
1201 |                         <span>Prom2click is an experimental Prometheus remote storage adapter that enables scalable and high-performance metric storage and querying using Clickhouse's column-oriented database optimized for time series data.</span>
1202 |                     </li>
1203 |                     <li>
1204 |                         <a href="https://github.com/openlit/openlit" aria-label="openlit/openlit - 2083 stars, Python" target="_blank" rel="noopener">openlit/openlit</a>
1205 |                         <span class="stars" aria-hidden="true">⭐ 2083</span>
1206 |                         <span class="language" aria-hidden="true">Python</span> -
1207 |                         <span>OpenLIT is an open-source AI engineering platform providing OpenTelemetry-native observability, monitoring, and management tools for large language models, GPUs, and vector databases, with data stored in ClickHouse for efficient telemetry analysis.</span>
1208 |                     </li>
1209 |                     <li>
1210 |                         <a href="https://github.com/openmeterio/openmeter" aria-label="openmeterio/openmeter - 1743 stars, Go" target="_blank" rel="noopener">openmeterio/openmeter</a>
1211 |                         <span class="stars" aria-hidden="true">⭐ 1743</span>
1212 |                         <span class="language" aria-hidden="true">Go</span> -
1213 |                         <span>OpenMeter is a flexible metering and billing platform for AI, API, and DevOps companies that collects and aggregates usage events in real-time to enable usage-based billing and real-time insights.</span>
1214 |                     </li>
1215 |                     <li>
1216 |                         <a href="https://github.com/uptrace/uptrace" aria-label="uptrace/uptrace - 3993 stars, Go" target="_blank" rel="noopener">uptrace/uptrace</a>
1217 |                         <span class="stars" aria-hidden="true">⭐ 3993</span>
1218 |                         <span class="language" aria-hidden="true">Go</span> -
1219 |                         <span>Uptrace is an open source APM platform that uses OpenTelemetry for data collection and ClickHouse for storage, providing unified monitoring of traces, metrics, and logs with powerful querying, dashboards, and alerting capabilities.</span>
1220 |                     </li>
1221 |                     <li>
1222 |                         <a href="https://github.com/vmxdev/xenoeye" aria-label="vmxdev/xenoeye - 129 stars, C++" target="_blank" rel="noopener">vmxdev/xenoeye</a>
1223 |                         <span class="stars" aria-hidden="true">⭐ 129</span>
1224 |                         <span class="language" aria-hidden="true">C++</span> -
1225 |                         <span>Xenoeye is a lightweight and efficient Netflow/IPFIX/sFlow collector and analyzer designed for medium to large networks, supporting traffic monitoring, anomaly detection, and integration with Grafana, PostgreSQL, and ClickHouse.</span>
1226 |                     </li>
1227 |                 </ul>
1228 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1229 |                 </section>
1230 |             
1231 |             <section aria-labelledby="deployment-and-management-tools"><h3 id="deployment-and-management-tools">Deployment and Management Tools</h3>
1232 |                 <ul aria-label="List of Deployment and Management Tools items">
1233 |                     <li>
1234 |                         <a href="https://github.com/Altinity/clickhouse-operator" aria-label="Altinity/clickhouse-operator - 2338 stars, Go" target="_blank" rel="noopener">Altinity/clickhouse-operator</a>
1235 |                         <span class="stars" aria-hidden="true">⭐ 2338</span>
1236 |                         <span class="language" aria-hidden="true">Go</span> -
1237 |                         <span>Altinity Kubernetes Operator for ClickHouse automates the creation, configuration, and management of ClickHouse clusters on Kubernetes, providing scalable and customizable cluster operations with integrated monitoring.</span>
1238 |                     </li>
1239 |                     <li>
1240 |                         <a href="https://github.com/Altinity/clickhouse-rpm-install" aria-label="Altinity/clickhouse-rpm-install - 135 stars, " target="_blank" rel="noopener">Altinity/clickhouse-rpm-install</a>
1241 |                         <span class="stars" aria-hidden="true">⭐ 135</span>
1242 |                         <span class="language" aria-hidden="true"></span> -
1243 |                         <span>Altinity/clickhouse-rpm-install provides detailed instructions and scripts for installing ClickHouse RPM packages from Altinity's repositories on CentOS and Amazon Linux systems.</span>
1244 |                     </li>
1245 |                     <li>
1246 |                         <a href="https://github.com/housepower/ckman" aria-label="housepower/ckman - 475 stars, Go" target="_blank" rel="noopener">housepower/ckman</a>
1247 |                         <span class="stars" aria-hidden="true">⭐ 475</span>
1248 |                         <span class="language" aria-hidden="true">Go</span> -
1249 |                         <span>ckman is a web-based tool for managing and monitoring ClickHouse database clusters, offering deployment, upgrade, node management, and monitoring features.</span>
1250 |                     </li>
1251 |                     <li>
1252 |                         <a href="https://github.com/tetafro/clickhouse-cluster" aria-label="tetafro/clickhouse-cluster - 223 stars, Makefile" target="_blank" rel="noopener">tetafro/clickhouse-cluster</a>
1253 |                         <span class="stars" aria-hidden="true">⭐ 223</span>
1254 |                         <span class="language" aria-hidden="true">Makefile</span> -
1255 |                         <span>A simple ClickHouse cluster setup with 2 shards and 2 replicas using docker-compose for local development and testing.</span>
1256 |                     </li>
1257 |                 </ul>
1258 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1259 |                 </section>
1260 |             
1261 |             <section aria-labelledby="data-visualization-and-analysis"><h3 id="data-visualization-and-analysis">Data Visualization and Analysis</h3>
1262 |                 <ul aria-label="List of Data Visualization and Analysis items">
1263 |                     <li>
1264 |                         <a href="https://github.com/Altinity/clickhouse-grafana" aria-label="Altinity/clickhouse-grafana - 764 stars, Python" target="_blank" rel="noopener">Altinity/clickhouse-grafana</a>
1265 |                         <span class="stars" aria-hidden="true">⭐ 764</span>
1266 |                         <span class="language" aria-hidden="true">Python</span> -
1267 |                         <span>Altinity/clickhouse-grafana is a Grafana datasource plugin that enables seamless integration and visualization of ClickHouse data within Grafana dashboards.</span>
1268 |                     </li>
1269 |                     <li>
1270 |                         <a href="https://github.com/ClickHouse/adsb.exposed" aria-label="ClickHouse/adsb.exposed - 427 stars, HTML" target="_blank" rel="noopener">ClickHouse/adsb.exposed</a>
1271 |                         <span class="stars" aria-hidden="true">⭐ 427</span>
1272 |                         <span class="language" aria-hidden="true">HTML</span> -
1273 |                         <span>An interactive platform for visualizing and analyzing massive ADS-B air traffic data using ClickHouse with real-time querying and detailed visualizations.</span>
1274 |                     </li>
1275 |                     <li>
1276 |                         <a href="https://github.com/ClickHouse/clickpy" aria-label="ClickHouse/clickpy - 124 stars, JavaScript" target="_blank" rel="noopener">ClickHouse/clickpy</a>
1277 |                         <span class="stars" aria-hidden="true">⭐ 124</span>
1278 |                         <span class="language" aria-hidden="true">JavaScript</span> -
1279 |                         <span>ClickPy is an open-source real-time Python package analytics service powered by ClickHouse, providing fast, detailed insights into PyPI package downloads and trends.</span>
1280 |                     </li>
1281 |                     <li>
1282 |                         <a href="https://github.com/ClickHouse/github-explorer" aria-label="ClickHouse/github-explorer - 166 stars, HTML" target="_blank" rel="noopener">ClickHouse/github-explorer</a>
1283 |                         <span class="stars" aria-hidden="true">⭐ 166</span>
1284 |                         <span class="language" aria-hidden="true">HTML</span> -
1285 |                         <span>ClickHouse/github-explorer is a comprehensive dataset and analysis platform using ClickHouse to explore and understand GitHub repository events and trends since 2011.</span>
1286 |                     </li>
1287 |                     <li>
1288 |                         <a href="https://github.com/TongchengOpenSource/ckibana" aria-label="TongchengOpenSource/ckibana - 309 stars, Java" target="_blank" rel="noopener">TongchengOpenSource/ckibana</a>
1289 |                         <span class="stars" aria-hidden="true">⭐ 309</span>
1290 |                         <span class="language" aria-hidden="true">Java</span> -
1291 |                         <span>CKibana is a ClickHouse adapter and proxy for Kibana that enables seamless visualization and analysis of ClickHouse data using native Kibana interfaces.</span>
1292 |                     </li>
1293 |                     <li>
1294 |                         <a href="https://github.com/akvorado/akvorado" aria-label="akvorado/akvorado - 2011 stars, Go" target="_blank" rel="noopener">akvorado/akvorado</a>
1295 |                         <span class="stars" aria-hidden="true">⭐ 2011</span>
1296 |                         <span class="language" aria-hidden="true">Go</span> -
1297 |                         <span>Akvorado is a flow collector, enricher, and visualizer that processes network flow data, enriches it with interface and geolocation information, and stores it in ClickHouse for real-time analysis and visualization.</span>
1298 |                     </li>
1299 |                     <li>
1300 |                         <a href="https://github.com/benawad/voidpulse" aria-label="benawad/voidpulse - 102 stars, TypeScript" target="_blank" rel="noopener">benawad/voidpulse</a>
1301 |                         <span class="stars" aria-hidden="true">⭐ 102</span>
1302 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1303 |                         <span>Voidpulse is an open-source AI-powered analytics platform serving as a cost-effective alternative to Mixpanel, utilizing Clickhouse for event data storage and querying.</span>
1304 |                     </li>
1305 |                     <li>
1306 |                         <a href="https://github.com/clickvisual/clickvisual" aria-label="clickvisual/clickvisual - 1623 stars, Go" target="_blank" rel="noopener">clickvisual/clickvisual</a>
1307 |                         <span class="stars" aria-hidden="true">⭐ 1623</span>
1308 |                         <span class="language" aria-hidden="true">Go</span> -
1309 |                         <span>ClickVisual is a lightweight log analytics and data visualization platform built on ClickHouse, designed for efficient log querying, analysis, and monitoring.</span>
1310 |                     </li>
1311 |                     <li>
1312 |                         <a href="https://github.com/datainsider-co/rocket-bi" aria-label="datainsider-co/rocket-bi - 115 stars, TypeScript" target="_blank" rel="noopener">datainsider-co/rocket-bi</a>
1313 |                         <span class="stars" aria-hidden="true">⭐ 115</span>
1314 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1315 |                         <span>Rocket BI is a free, open-source, web-based self-service business intelligence tool tailored for analytical databases including ClickHouse, enabling users to analyze, visualize, and collaborate on data through interactive dashboards and drag-and-drop interfaces.</span>
1316 |                     </li>
1317 |                     <li>
1318 |                         <a href="https://github.com/grafana/clickhouse-datasource" aria-label="grafana/clickhouse-datasource - 195 stars, TypeScript" target="_blank" rel="noopener">grafana/clickhouse-datasource</a>
1319 |                         <span class="stars" aria-hidden="true">⭐ 195</span>
1320 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1321 |                         <span>Official Grafana plugin enabling querying and visualization of ClickHouse data within Grafana dashboards.</span>
1322 |                     </li>
1323 |                     <li>
1324 |                         <a href="https://github.com/iamtelescope/telescope" aria-label="iamtelescope/telescope - 615 stars, Vue" target="_blank" rel="noopener">iamtelescope/telescope</a>
1325 |                         <span class="stars" aria-hidden="true">⭐ 615</span>
1326 |                         <span class="language" aria-hidden="true">Vue</span> -
1327 |                         <span>Telescope is a web-based log viewer UI that enables intuitive exploration and analysis of log data stored primarily in ClickHouse, with support for Docker logs and advanced querying features.</span>
1328 |                     </li>
1329 |                     <li>
1330 |                         <a href="https://github.com/mprove-io/mprove" aria-label="mprove-io/mprove - 328 stars, TypeScript" target="_blank" rel="noopener">mprove-io/mprove</a>
1331 |                         <span class="stars" aria-hidden="true">⭐ 328</span>
1332 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1333 |                         <span>Mprove is an open-source self-service Business Intelligence platform with version control, leveraging ClickHouse for high-performance data analytics and flexible deployment options.</span>
1334 |                     </li>
1335 |                     <li>
1336 |                         <a href="https://github.com/mr-karan/logchef" aria-label="mr-karan/logchef - 484 stars, Vue" target="_blank" rel="noopener">mr-karan/logchef</a>
1337 |                         <span class="stars" aria-hidden="true">⭐ 484</span>
1338 |                         <span class="language" aria-hidden="true">Vue</span> -
1339 |                         <span>Logchef is a lightweight, high-performance log analytics platform built on ClickHouse, offering schema-agnostic querying, team-based access control, and easy deployment as a single binary.</span>
1340 |                     </li>
1341 |                     <li>
1342 |                         <a href="https://github.com/serenedb/serenedb" aria-label="serenedb/serenedb - 150 stars, C++" target="_blank" rel="noopener">serenedb/serenedb</a>
1343 |                         <span class="stars" aria-hidden="true">⭐ 150</span>
1344 |                         <span class="language" aria-hidden="true">C++</span> -
1345 |                         <span>SereneDB is a distributed real-time search analytics database that unifies Elasticsearch-like search and ClickHouse-like analytics in a single, Postgres-compatible platform for high performance and ease of use.</span>
1346 |                     </li>
1347 |                 </ul>
1348 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1349 |                 </section>
1350 |             
1351 |             <section aria-labelledby="etl-and-data-processing"><h3 id="etl-and-data-processing">ETL and Data Processing</h3>
1352 |                 <ul aria-label="List of ETL and Data Processing items">
1353 |                     <li>
1354 |                         <a href="https://github.com/ByConity/ByConity" aria-label="ByConity/ByConity - 2224 stars, C++" target="_blank" rel="noopener">ByConity/ByConity</a>
1355 |                         <span class="stars" aria-hidden="true">⭐ 2224</span>
1356 |                         <span class="language" aria-hidden="true">C++</span> -
1357 |                         <span>ByConity is an open-source cloud data warehouse derived from ClickHouse, designed with a cloud-native architecture to provide high-performance querying and unified management of batch and streaming data at large scale.</span>
1358 |                     </li>
1359 |                     <li>
1360 |                         <a href="https://github.com/ClickHouse/ClickBench" aria-label="ClickHouse/ClickBench - 924 stars, HTML" target="_blank" rel="noopener">ClickHouse/ClickBench</a>
1361 |                         <span class="stars" aria-hidden="true">⭐ 924</span>
1362 |                         <span class="language" aria-hidden="true">HTML</span> -
1363 |                         <span>ClickBench is a comprehensive and reproducible benchmark designed to evaluate the performance of analytical databases, including ClickHouse, using realistic workloads derived from real-world web analytics data.</span>
1364 |                     </li>
1365 |                     <li>
1366 |                         <a href="https://github.com/FrigadeHQ/trench" aria-label="FrigadeHQ/trench - 1612 stars, TypeScript" target="_blank" rel="noopener">FrigadeHQ/trench</a>
1367 |                         <span class="stars" aria-hidden="true">⭐ 1612</span>
1368 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1369 |                         <span>Trench is an open-source, production-ready analytics infrastructure built on ClickHouse and Kafka for scalable, real-time event tracking and analytics with GDPR compliance.</span>
1370 |                     </li>
1371 |                     <li>
1372 |                         <a href="https://github.com/LimeJourney/limeJourney" aria-label="LimeJourney/limeJourney - 125 stars, TypeScript" target="_blank" rel="noopener">LimeJourney/limeJourney</a>
1373 |                         <span class="stars" aria-hidden="true">⭐ 125</span>
1374 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1375 |                         <span>LimeJourney is an open-source customer engagement platform that leverages ClickHouse for real-time segmentation and high-volume event data management to create personalized, data-driven user journeys at scale.</span>
1376 |                     </li>
1377 |                     <li>
1378 |                         <a href="https://github.com/PeerDB-io/peerdb" aria-label="PeerDB-io/peerdb - 2841 stars, Go" target="_blank" rel="noopener">PeerDB-io/peerdb</a>
1379 |                         <span class="stars" aria-hidden="true">⭐ 2841</span>
1380 |                         <span class="language" aria-hidden="true">Go</span> -
1381 |                         <span>PeerDB is a high-performance, PostgreSQL-optimized ETL tool that enables fast, reliable, and cost-effective streaming of data from Postgres to data warehouses, queues, and storage engines, with native integration in ClickHouse Cloud.</span>
1382 |                     </li>
1383 |                     <li>
1384 |                         <a href="https://github.com/cloudflare/flow-pipeline" aria-label="cloudflare/flow-pipeline - 186 stars, Go" target="_blank" rel="noopener">cloudflare/flow-pipeline</a>
1385 |                         <span class="stars" aria-hidden="true">⭐ 186</span>
1386 |                         <span class="language" aria-hidden="true">Go</span> -
1387 |                         <span>Flow-pipeline is a Cloudflare project providing tools and examples to build scalable network flow data collection and processing pipelines using GoFlow, Kafka, and databases like Postgres and Clickhouse.</span>
1388 |                     </li>
1389 |                     <li>
1390 |                         <a href="https://github.com/devlive-community/datacap" aria-label="devlive-community/datacap - 974 stars, Java" target="_blank" rel="noopener">devlive-community/datacap</a>
1391 |                         <span class="stars" aria-hidden="true">⭐ 974</span>
1392 |                         <span class="language" aria-hidden="true">Java</span> -
1393 |                         <span>DataCap is an integrated software platform for data transformation, integration, and visualization, supporting a wide range of data sources including ClickHouse and other major databases.</span>
1394 |                     </li>
1395 |                     <li>
1396 |                         <a href="https://github.com/droher/boxball" aria-label="droher/boxball - 129 stars, Python" target="_blank" rel="noopener">droher/boxball</a>
1397 |                         <span class="stars" aria-hidden="true">⭐ 129</span>
1398 |                         <span class="language" aria-hidden="true">Python</span> -
1399 |                         <span>Boxball provides prebuilt Docker images with Retrosheet's complete baseball history data for multiple analytical database frameworks including Clickhouse, enabling easy access and analysis of comprehensive baseball datasets.</span>
1400 |                     </li>
1401 |                     <li>
1402 |                         <a href="https://github.com/easysql/easy_sql" aria-label="easysql/easy_sql - 134 stars, Python" target="_blank" rel="noopener">easysql/easy_sql</a>
1403 |                         <span class="stars" aria-hidden="true">⭐ 134</span>
1404 |                         <span class="language" aria-hidden="true">Python</span> -
1405 |                         <span>Easy SQL is a versatile library that simplifies ETL development by enabling imperative SQL workflows across multiple backend SQL engines including Clickhouse.</span>
1406 |                     </li>
1407 |                     <li>
1408 |                         <a href="https://github.com/fortiql/data-forge" aria-label="fortiql/data-forge - 162 stars, Jupyter Notebook" target="_blank" rel="noopener">fortiql/data-forge</a>
1409 |                         <span class="stars" aria-hidden="true">⭐ 162</span>
1410 |                         <span class="language" aria-hidden="true">Jupyter Notebook</span> -
1411 |                         <span>Data Forge is a modern data stack playground that integrates tools like Spark, Trino, Kafka, ClickHouse, and Airflow to enable data engineers to practice end-to-end workflows locally using Docker Compose.</span>
1412 |                     </li>
1413 |                     <li>
1414 |                         <a href="https://github.com/glassflow/clickhouse-etl" aria-label="glassflow/clickhouse-etl - 375 stars, TypeScript" target="_blank" rel="noopener">glassflow/clickhouse-etl</a>
1415 |                         <span class="stars" aria-hidden="true">⭐ 375</span>
1416 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1417 |                         <span>GlassFlow is an open-source ETL tool for real-time data processing from Kafka to ClickHouse with features like deduplication and temporal joins.</span>
1418 |                     </li>
1419 |                     <li>
1420 |                         <a href="https://github.com/jitsucom/bulker" aria-label="jitsucom/bulker - 207 stars, Go" target="_blank" rel="noopener">jitsucom/bulker</a>
1421 |                         <span class="stars" aria-hidden="true">⭐ 207</span>
1422 |                         <span class="language" aria-hidden="true">Go</span> -
1423 |                         <span>Bulker is a scalable and reliable service for bulk-loading semi-structured JSON data into multiple databases including ClickHouse, with automatic schema management and support for streaming and batching modes.</span>
1424 |                     </li>
1425 |                     <li>
1426 |                         <a href="https://github.com/myscale/MyScaleDB" aria-label="myscale/MyScaleDB - 1018 stars, C++" target="_blank" rel="noopener">myscale/MyScaleDB</a>
1427 |                         <span class="stars" aria-hidden="true">⭐ 1018</span>
1428 |                         <span class="language" aria-hidden="true">C++</span> -
1429 |                         <span>MyScaleDB is a high-performance SQL vector database built on ClickHouse, enabling scalable AI applications with advanced vector and full-text search capabilities using familiar SQL.</span>
1430 |                     </li>
1431 |                     <li>
1432 |                         <a href="https://github.com/ozontech/file.d" aria-label="ozontech/file.d - 475 stars, Go" target="_blank" rel="noopener">ozontech/file.d</a>
1433 |                         <span class="stars" aria-hidden="true">⭐ 475</span>
1434 |                         <span class="language" aria-hidden="true">Go</span> -
1435 |                         <span>file.d is a high-performance, versatile tool for building data pipelines that read, process, and output events with support for ClickHouse and other output plugins, optimized for speed and reliability in modern infrastructure environments.</span>
1436 |                     </li>
1437 |                     <li>
1438 |                         <a href="https://github.com/timeplus-io/proton" aria-label="timeplus-io/proton - 2099 stars, C++" target="_blank" rel="noopener">timeplus-io/proton</a>
1439 |                         <span class="stars" aria-hidden="true">⭐ 2099</span>
1440 |                         <span class="language" aria-hidden="true">C++</span> -
1441 |                         <span>Timeplus Proton is a high-performance, lightweight streaming SQL engine powered by ClickHouse, designed for real-time analytics and ETL on streaming data from Kafka, Pulsar, Iceberg, and ClickHouse with advanced features like CDC, UPSERT, and multi-stream JOINs.</span>
1442 |                     </li>
1443 |                     <li>
1444 |                         <a href="https://github.com/toddwschneider/nyc-taxi-data" aria-label="toddwschneider/nyc-taxi-data - 2053 stars, R" target="_blank" rel="noopener">toddwschneider/nyc-taxi-data</a>
1445 |                         <span class="stars" aria-hidden="true">⭐ 2053</span>
1446 |                         <span class="language" aria-hidden="true">R</span> -
1447 |                         <span>A comprehensive project for importing, processing, and analyzing over 3 billion NYC taxi and for-hire vehicle trip records using PostgreSQL or ClickHouse databases.</span>
1448 |                     </li>
1449 |                     <li>
1450 |                         <a href="https://github.com/transferia/transferia" aria-label="transferia/transferia - 171 stars, Go" target="_blank" rel="noopener">transferia/transferia</a>
1451 |                         <span class="stars" aria-hidden="true">⭐ 171</span>
1452 |                         <span class="language" aria-hidden="true">Go</span> -
1453 |                         <span>Transferia is an open-source cloud-native ingestion engine that enables scalable, high-performance data transfer and transformation across diverse sources and destinations, with strong support for ClickHouse as a key target database.</span>
1454 |                     </li>
1455 |                     <li>
1456 |                         <a href="https://github.com/wgzhao/Addax" aria-label="wgzhao/Addax - 1378 stars, Java" target="_blank" rel="noopener">wgzhao/Addax</a>
1457 |                         <span class="stars" aria-hidden="true">⭐ 1378</span>
1458 |                         <span class="language" aria-hidden="true">Java</span> -
1459 |                         <span>Addax is a versatile and extensible open-source ETL tool that supports seamless data transfer between over 20 SQL and NoSQL data sources, including ClickHouse, with easy configuration and deployment options.</span>
1460 |                     </li>
1461 |                     <li>
1462 |                         <a href="https://github.com/ytsaurus/ytsaurus" aria-label="ytsaurus/ytsaurus - 2111 stars, C++" target="_blank" rel="noopener">ytsaurus/ytsaurus</a>
1463 |                         <span class="stars" aria-hidden="true">⭐ 2111</span>
1464 |                         <span class="language" aria-hidden="true">C++</span> -
1465 |                         <span>YTsaurus is a scalable, fault-tolerant open-source big data platform featuring MapReduce, SQL engine, NoSQL store, and integration with ClickHouse for fast analytics.</span>
1466 |                     </li>
1467 |                 </ul>
1468 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1469 |                 </section>
1470 |             </section>
1471 |             
1472 |             <section aria-labelledby="ops"><h2 id="ops">Ops</h2>
1473 |                 <ul aria-label="List of Ops items">
1474 |                     <li>
1475 |                         <a href="https://github.com/Altinity/clickhouse-backup" aria-label="Altinity/clickhouse-backup - 1518 stars, Go" target="_blank" rel="noopener">Altinity/clickhouse-backup</a>
1476 |                         <span class="stars" aria-hidden="true">⭐ 1518</span>
1477 |                         <span class="language" aria-hidden="true">Go</span> -
1478 |                         <span>Altinity/clickhouse-backup is a tool for easy backup and restore of ClickHouse databases using various cloud and local object storage systems.</span>
1479 |                     </li>
1480 |                     <li>
1481 |                         <a href="https://github.com/ClickHouse/mcp-clickhouse" aria-label="ClickHouse/mcp-clickhouse - 619 stars, Python" target="_blank" rel="noopener">ClickHouse/mcp-clickhouse</a>
1482 |                         <span class="stars" aria-hidden="true">⭐ 619</span>
1483 |                         <span class="language" aria-hidden="true">Python</span> -
1484 |                         <span>ClickHouse MCP Server is a secure MCP server enabling read-only SQL query execution and database management operations on ClickHouse clusters.</span>
1485 |                     </li>
1486 |                     <li>
1487 |                         <a href="https://github.com/PostHog/HouseWatch" aria-label="PostHog/HouseWatch - 605 stars, TypeScript" target="_blank" rel="noopener">PostHog/HouseWatch</a>
1488 |                         <span class="stars" aria-hidden="true">⭐ 605</span>
1489 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1490 |                         <span>HouseWatch is an open-source tool by PostHog for monitoring and managing ClickHouse clusters, providing detailed insights into query performance, cluster load, logs, and disk usage with operational controls.</span>
1491 |                     </li>
1492 |                     <li>
1493 |                         <a href="https://github.com/duyet/clickhouse-monitoring" aria-label="duyet/clickhouse-monitoring - 190 stars, TypeScript" target="_blank" rel="noopener">duyet/clickhouse-monitoring</a>
1494 |                         <span class="stars" aria-hidden="true">⭐ 190</span>
1495 |                         <span class="language" aria-hidden="true">TypeScript</span> -
1496 |                         <span>ClickHouse Monitoring Dashboard is a Next.js-based UI tool that leverages system tables to provide comprehensive monitoring and visualization of ClickHouse clusters, including query, cluster, and table metrics.</span>
1497 |                     </li>
1498 |                 </ul>
1499 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1500 |                 </section>
1501 |             
1502 |             <section aria-labelledby="documentation"><h2 id="documentation">Documentation</h2>
1503 |                 <ul aria-label="List of Documentation items">
1504 |                     <li>
1505 |                         <a href="https://github.com/ClickHouse/ClickHouse" aria-label="ClickHouse/ClickHouse - 44668 stars, C++" target="_blank" rel="noopener">ClickHouse/ClickHouse</a>
1506 |                         <span class="stars" aria-hidden="true">⭐ 44668</span>
1507 |                         <span class="language" aria-hidden="true">C++</span> -
1508 |                         <span>ClickHouse is an open-source, column-oriented database management system designed for real-time analytics and high-performance data processing.</span>
1509 |                     </li>
1510 |                     <li>
1511 |                         <a href="https://github.com/ClickHouse/clickhouse-academy" aria-label="ClickHouse/clickhouse-academy - 104 stars, Python" target="_blank" rel="noopener">ClickHouse/clickhouse-academy</a>
1512 |                         <span class="stars" aria-hidden="true">⭐ 104</span>
1513 |                         <span class="language" aria-hidden="true">Python</span> -
1514 |                         <span>ClickHouse Academy offers free, on-demand training and certification for database professionals to effectively learn and use the ClickHouse analytical database system.</span>
1515 |                     </li>
1516 |                     <li>
1517 |                         <a href="https://github.com/ClickHouse/clickhouse-docs" aria-label="ClickHouse/clickhouse-docs - 178 stars, MDX" target="_blank" rel="noopener">ClickHouse/clickhouse-docs</a>
1518 |                         <span class="stars" aria-hidden="true">⭐ 178</span>
1519 |                         <span class="language" aria-hidden="true">MDX</span> -
1520 |                         <span>Official documentation repository for ClickHouse, providing comprehensive guides and resources for using the ClickHouse column-oriented database management system.</span>
1521 |                     </li>
1522 |                     <li>
1523 |                         <a href="https://github.com/ClickHouse/clickhouse-presentations" aria-label="ClickHouse/clickhouse-presentations - 1062 stars, HTML" target="_blank" rel="noopener">ClickHouse/clickhouse-presentations</a>
1524 |                         <span class="stars" aria-hidden="true">⭐ 1062</span>
1525 |                         <span class="language" aria-hidden="true">HTML</span> -
1526 |                         <span>A repository hosting presentations, meetups, and talks about ClickHouse, an open-source column-oriented database for real-time analytical data reporting.</span>
1527 |                     </li>
1528 |                     <li>
1529 |                         <a href="https://github.com/jneo8/clickhouse-setup" aria-label="jneo8/clickhouse-setup - 152 stars, Makefile" target="_blank" rel="noopener">jneo8/clickhouse-setup</a>
1530 |                         <span class="stars" aria-hidden="true">⭐ 152</span>
1531 |                         <span class="language" aria-hidden="true">Makefile</span> -
1532 |                         <span>A comprehensive tutorial for setting up and configuring ClickHouse servers and clusters using Docker, emphasizing replication and data consistency with ZooKeeper.</span>
1533 |                     </li>
1534 |                 </ul>
1535 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1536 |                 </section>
1537 |             
1538 |             <section aria-labelledby="examples"><h2 id="examples">Examples</h2>
1539 |                 <ul aria-label="List of Examples items">
1540 |                     <li>
1541 |                         <a href="https://github.com/AlexeyKupershtokh/clickhouse-maxmind-geoip" aria-label="AlexeyKupershtokh/clickhouse-maxmind-geoip - 122 stars, Dockerfile" target="_blank" rel="noopener">AlexeyKupershtokh/clickhouse-maxmind-geoip</a>
1542 |                         <span class="stars" aria-hidden="true">⭐ 122</span>
1543 |                         <span class="language" aria-hidden="true">Dockerfile</span> -
1544 |                         <span>A demonstration project showcasing the integration of ClickHouse with MaxMind GeoIP2 databases for geolocation, including dictionary definitions, table schemas, query examples, and Docker setup for easy experimentation.</span>
1545 |                     </li>
1546 |                     <li>
1547 |                         <a href="https://github.com/ClickHouse/examples" aria-label="ClickHouse/examples - 202 stars, Jupyter Notebook" target="_blank" rel="noopener">ClickHouse/examples</a>
1548 |                         <span class="stars" aria-hidden="true">⭐ 202</span>
1549 |                         <span class="language" aria-hidden="true">Jupyter Notebook</span> -
1550 |                         <span>ClickHouse/examples is a repository providing a collection of data, SQL queries, and Docker Compose recipes to help users quickly deploy, experiment with, and integrate ClickHouse in various environments.</span>
1551 |                     </li>
1552 |                 </ul>
1553 |                 <p class="back-to-toc"><a href="#toc-heading">↑ Back to TOC</a></p>
1554 |                 </section>
1555 |             
1556 |         </main>
1557 | 
1558 |         <footer role="contentinfo">
1559 |             <div class="license">
1560 |                 <h2 id="license">License</h2>
1561 |                 <a href="https://creativecommons.org/publicdomain/zero/1.0/" aria-label="Creative Commons Zero License">
1562 |                     <img src="https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg" alt="CC0 License" width="88" height="31" loading="lazy">
1563 |                 </a>
1564 |             </div>
1565 |         </footer>
1566 |     </div>
1567 | </body>
1568 | </html>


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