├── .devcontainer
├── Dockerfile
└── devcontainer.json
├── .gitignore
├── Makefile
├── README.md
├── evidence
├── .evidence
│ └── customization
│ │ └── custom-formatting.json
├── .npmrc
├── README.md
├── degit.json
├── duckdb_stats.db
├── evidence.plugins.yaml
├── package-lock.json
├── package.json
└── pages
│ └── index.md
├── rill
├── data
│ └── duckdb_stats.db
├── duckdb_stats.db
└── rill-project
│ ├── .gitignore
│ ├── dashboards
│ ├── .gitkeep
│ └── model_dashboard.yaml
│ ├── models
│ ├── .gitkeep
│ └── model.sql
│ ├── rill.yaml
│ └── sources
│ └── .gitkeep
├── screenshots
├── evidence_dashboard.png
├── rill_dashboard.png
└── streamlit_dashboard.png
└── streamlit-demo
├── app.py
├── duckdb_stats.db
├── poetry.lock
└── pyproject.toml
/.devcontainer/Dockerfile:
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1 | ARG PLATFORM=amd64
2 | FROM --platform=linux/${PLATFORM} mcr.microsoft.com/devcontainers/javascript-node:1-18-bullseye
3 |
4 | # Poetry for streamlit
5 | RUN pip3 install poetry
6 |
7 | # Rill CLI
8 | RUN curl -s https://cdn.rilldata.com/install.sh | bash
9 |
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/.devcontainer/devcontainer.json:
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1 | // For format details, see https://aka.ms/devcontainer.json. For config options, see the
2 | // README at: https://github.com/devcontainers/templates/tree/main/src/javascript-node
3 | {
4 | "name": "Node.js",
5 | // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
6 | "build": {
7 | "dockerfile": "Dockerfile",
8 | "args": {
9 | // Options arm64 or amd64
10 | "PLATFORM": "amd64"
11 | }
12 | },
13 | "features": {
14 | "ghcr.io/devcontainers/features/python:1": {}
15 | }
16 |
17 | // Features to add to the dev container. More info: https://containers.dev/features.
18 | // "features": {},
19 |
20 | // Use 'forwardPorts' to make a list of ports inside the container available locally.
21 | // "forwardPorts": [],
22 |
23 | // Use 'postCreateCommand' to run commands after the container is created.
24 | // "postCreateCommand": "yarn install",
25 |
26 | // Configure tool-specific properties.
27 | // "customizations": {},
28 |
29 | // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
30 | // "remoteUser": "root"
31 | }
32 |
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/.gitignore:
--------------------------------------------------------------------------------
1 |
2 | evidence/.evidence/template
3 | evidence/.svelte-kit
4 | evidence/build
5 | evidence/node_modules
6 | evidence/.vscode/settings.json
7 | *.wal
8 |
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/Makefile:
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1 | .PHONY: evidence-install evidence streamlit-install streamlit rill rill-install
2 |
3 | evidence-install:
4 | cd evidence && npm install
5 |
6 | evidence:
7 | cd evidence && npm run dev
8 |
9 | streamlit-install:
10 | cd streamlit-demo && poetry install
11 |
12 | streamlit:
13 | cd streamlit-demo && poetry run streamlit run app.py
14 |
15 | rill-install:
16 | RUN curl -s https://cdn.rilldata.com/install.sh | bash
17 |
18 | rill:
19 | rill start rill/rill-project --db rill/data/duckdb_stats.db
20 |
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/README.md:
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1 | # BI as a code demo using DuckDB
2 | This repository contains 3 examples of how to use DuckDB & BI-as-code tools to create dashboards and reports.
3 | Each tool has its own folder with self-contained data and code. Each dashboard is using a local DuckDB db (stored in this repository) that contains data about Pypi statistics on `DuckDB` project.
4 |
5 | ## [Evidence](https://evidence.dev)
6 | 
7 |
8 | ## [Rill](https://www.rilldata.com/)
9 | 
10 |
11 | ## [Streamlit](https://streamlit.io/)
12 | 
13 |
14 | ## Requirements
15 | * NodeJS 18 (only for Evidence)
16 | * Python 3.9 & Poetry (only for Streamlit)
17 | * GNU Make
18 | OR Docker for Desktop & [devcontainer extension](https://code.visualstudio.com/docs/devcontainers/containers) w/ VSCode. A devcontainer definition is located in `.devcontainer` folder.
19 |
20 | ## Running the demos
21 | A `Makefile` contains target to install dependencies and run each dashboard locally.
22 | - Evidence : `make evidence-install` && `make evidence`
23 | - Rill : `make rill-install` && `make rill`
24 | - Streamlit : `make streamlit-install` && `make streamlit`
25 |
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/evidence/.evidence/customization/custom-formatting.json:
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1 | {
2 | "version": "1.0",
3 | "customFormats": []
4 | }
--------------------------------------------------------------------------------
/evidence/.npmrc:
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1 | loglevel=error
2 | audit=false
3 | fund=false
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/evidence/README.md:
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1 | # Evidence Template Project
2 |
3 | Welcome to Evidence. Use this project template to get started.
4 |
5 | [Share your feedback with the Evidence team](https://du3tapwtcbi.typeform.com/to/GZNZe1GY)
6 |
7 | ## Getting Started
8 |
9 | Check out the docs for [alternative install methods](https://docs.evidence.dev/getting-started/install-evidence) including Docker, Github Codespaces, and alongside dbt.
10 |
11 | ```shell
12 | npx degit evidence-dev/template my-project
13 | cd my-project
14 | npm install
15 | npm run dev
16 | ```
17 |
18 | Once you've launched Evidence, this project includes a short tutorial to help you get started.
19 |
20 | Don't clone this repo, just download the code using the steps above.
21 |
22 | ## Codespaces
23 |
24 | If you are using this template in Codespaces, click the Start Evidence button in the bottom left toolbar, or use the following commands to get started:
25 |
26 | ```shell
27 | npm install
28 | npm run dev -- --host 0.0.0.0
29 | ```
30 |
31 | See [the CLI docs](https://docs.evidence.dev/cli/) for more command information.
32 |
33 | **Note:** Codespaces is much faster on the Desktop app. After the Codespace has booted, select the hamburger menu → Open in VS Code Desktop.
34 |
35 | ## Connection Issues
36 |
37 | If you see `✗ orders_by_month Missing database credentials`, you need to add the connection to the demo database:
38 |
39 | 1. Open the settings menu at [localhost:3000/settings](http://localhost:3000/settings)
40 | 2. select `DuckDB`
41 | 3. enter `needful_things`
42 | 4. select `.duckdb` and save
43 |
44 | ## Learning More
45 |
46 | - [Docs](https://docs.evidence.dev/)
47 | - [Github](https://github.com/evidence-dev/evidence)
48 | - [Slack Community](https://join.slack.com/t/evidencedev/shared_invite/zt-uda6wp6a-hP6Qyz0LUOddwpXW5qG03Q)
49 | - [Evidence Home Page](https://www.evidence.dev)
50 |
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/evidence/degit.json:
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1 | [
2 | {
3 | "action": "remove",
4 | "files": [".devcontainer"]
5 | },
6 | {
7 | "action": "clone",
8 | "src": "evidence-dev/default-settings"
9 | }
10 | ]
--------------------------------------------------------------------------------
/evidence/duckdb_stats.db:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/evidence/duckdb_stats.db
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/evidence/evidence.plugins.yaml:
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1 | components:
2 | # This loads all of evidence's core charts and UI components
3 | # You probably don't want to edit this dependency unless you know what you are doing
4 | @evidence-dev/core-components: {}
5 | @evidence-dev/labs: {}
6 | # Loading a plugin:
7 | # your-component-plugin: {}
8 | #
9 | # Adding aliases:
10 | # your-component-plugin:
11 | # aliases:
12 | # SomeLongComponent: Alias
13 | #
14 | # Adding overrides:
15 | # your-component-plugin:
16 | # aliases:
17 | # SomeLongChartComponent: BarChart
18 | # overrides:
19 | # - BarChart
20 | #
21 | # Adding normal Svelte component library:
22 | # your-svelte-component-library:
23 | # provides:
24 | # - SomeComponent
25 | # - SomeOtherComponent
26 | #
27 | # For more info: https://docs.evidence.dev/plugins/using-plugins/
28 |
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/evidence/package.json:
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1 | {
2 | "name": "my-evidence-project",
3 | "version": "0.0.1",
4 | "scripts": {
5 | "build": "evidence build",
6 | "build:strict": "evidence build:strict",
7 | "dev": "evidence dev --open /",
8 | "test": "evidence build"
9 | },
10 | "engines": {
11 | "npm": ">=7.0.0",
12 | "node": ">=16.14.0"
13 | },
14 | "type": "module",
15 | "dependencies": {
16 | "@evidence-dev/core-components": "^2.1.4",
17 | "@evidence-dev/evidence": "^23.0.4",
18 | "@evidence-dev/labs": "^0.0.13"
19 | },
20 | "overrides": {
21 | "jsonwebtoken": "9.0.0",
22 | "trim@<0.0.3": ">0.0.3",
23 | "sqlite3": "5.1.5"
24 | }
25 | }
26 |
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/evidence/pages/index.md:
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1 | ---
2 | title: 🦆 DuckDB pypi stats | Evidence
3 | ---
4 |
5 |
6 | ## How many people downloaded DuckDB ?
7 |
13 |
18 |
19 | ### Daily Download
20 |
21 |
22 |
23 | ### Monthly download
24 |
25 |
26 |
27 |
28 |
29 |
30 | ## Which DuckDB version do people use ?
31 |
39 |
40 | ## Which Python version do people use ?
41 |
49 |
50 | ```sql count_over_month
51 | SELECT SUM(daily_download_count) AS download_count
52 | FROM daily_stats
53 | ```
54 |
55 | ```sql count_november
56 | SELECT
57 | SUM(daily_download_count) AS download_sum_november_2023
58 | FROM
59 | daily_stats
60 | WHERE
61 | timestamp_day BETWEEN '2023-11-01' AND '2023-11-30';
62 | ```
63 |
64 |
65 | ```sql download_month
66 | SELECT
67 | DATE_TRUNC('month', timestamp_day) AS month_start_date,
68 | SUM(daily_download_count) AS monthly_downloads
69 | FROM
70 | daily_stats
71 | GROUP BY
72 | month_start_date
73 | ORDER BY
74 | month_start_date DESC;
75 | ```
76 |
77 | ```sql download_daily
78 | SELECT
79 | SUM(daily_download_count) AS daily_download,
80 | timestamp_day
81 | FROM
82 | daily_stats
83 | GROUP BY
84 | timestamp_day
85 | ORDER BY
86 | timestamp_day DESC;
87 | ```
88 |
89 | ```sql duckdb_version
90 | WITH weekly_downloads AS (
91 | SELECT
92 | DATE_TRUNC('week', timestamp_day) AS week_start_date,
93 | CONCAT(SPLIT_PART(file_version, '.', 1), '.', SPLIT_PART(file_version, '.', 2)) AS simplified_version,
94 | SUM(daily_download_count) AS weekly_downloads
95 | FROM
96 | daily_stats
97 | WHERE
98 | (
99 | CAST(SPLIT_PART(file_version, '.', 1) AS INT) > 0 OR
100 | (CAST(SPLIT_PART(file_version, '.', 1) AS INT) = 0 AND CAST(SPLIT_PART(file_version, '.', 2) AS INT) >= 6)
101 | )
102 | AND EXTRACT(year FROM timestamp_day) > 2022
103 | OR (
104 | EXTRACT(year FROM timestamp_day) = 2022 AND EXTRACT(week FROM timestamp_day) >= 48
105 | )
106 | GROUP BY
107 | 1, 2
108 | ),
109 | distinct_weekly_downloads AS (
110 | SELECT DISTINCT
111 | week_start_date,
112 | simplified_version,
113 | weekly_downloads
114 | FROM
115 | weekly_downloads
116 | ),
117 | cumulative_downloads AS (
118 | SELECT
119 | week_start_date,
120 | simplified_version,
121 | SUM(weekly_downloads) OVER (
122 | PARTITION BY simplified_version
123 | ORDER BY week_start_date
124 | ) AS cum_download
125 | FROM
126 | distinct_weekly_downloads
127 | )
128 | SELECT * FROM cumulative_downloads;
129 | ```
130 |
131 | ```sql python_version
132 | WITH weekly_downloads AS (
133 | SELECT
134 | DATE_TRUNC('week', timestamp_day) AS week_start_date,
135 | CONCAT(SPLIT_PART(python_version, '.', 1), '.', SPLIT_PART(python_version, '.', 2)) AS python_major_minor_version,
136 | SUM(daily_download_count) AS weekly_downloads
137 | FROM
138 | daily_stats
139 | WHERE
140 | daily_download_count IS NOT NULL AND
141 | python_major_minor_version IN ('2.7', '3.6', '3.7', '3.8', '3.9', '3.10', '3.11')
142 | GROUP BY
143 | 1, 2
144 | ),
145 | cumulative_downloads AS (
146 | SELECT
147 | week_start_date,
148 | python_major_minor_version,
149 | SUM(weekly_downloads) OVER (
150 | PARTITION BY python_major_minor_version
151 | ORDER BY week_start_date
152 | ) AS cum_download
153 | FROM
154 | weekly_downloads
155 | )
156 | SELECT * FROM cumulative_downloads;
157 | ```
158 |
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/rill/data/duckdb_stats.db:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/rill/data/duckdb_stats.db
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/rill/duckdb_stats.db:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/rill/duckdb_stats.db
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/rill/rill-project/.gitignore:
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1 | # Rill
2 | *.db
3 | *.db.tmp
4 | *.db.wal
5 |
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/rill/rill-project/dashboards/.gitkeep:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/rill/rill-project/dashboards/.gitkeep
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/rill/rill-project/dashboards/model_dashboard.yaml:
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1 | # Visit https://docs.rilldata.com/reference/project-files to learn more about Rill project files.
2 |
3 | title: Pypi Download Stats
4 | model: model
5 | timeseries: timestamp_day
6 | measures:
7 | - label: Total Downloads
8 | expression: sum(daily_download_count)
9 | name: total_records
10 | description: Total number of records present
11 | format_preset: humanize
12 | valid_percent_of_total: true
13 | dimensions:
14 | - name: python_version
15 | label: Python_version
16 | column: python_version
17 | description: ""
18 | - name: system_name
19 | label: System_name
20 | column: system_name
21 | description: ""
22 | - name: cpu
23 | label: Cpu
24 | column: cpu
25 | description: ""
26 | - name: file_version
27 | label: File_version
28 | column: file_version
29 | description: ""
30 | - name: country
31 | label: Country
32 | column: country
33 | description: ""
34 |
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/rill/rill-project/models/.gitkeep:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/rill/rill-project/models/.gitkeep
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/rill/rill-project/models/model.sql:
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1 | select * from duckdb_stats.main.daily_stats
2 |
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/rill/rill-project/rill.yaml:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/rill/rill-project/rill.yaml
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/rill/rill-project/sources/.gitkeep:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/rill/rill-project/sources/.gitkeep
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/screenshots/evidence_dashboard.png:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/screenshots/evidence_dashboard.png
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/screenshots/rill_dashboard.png:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/screenshots/rill_dashboard.png
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/screenshots/streamlit_dashboard.png:
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https://raw.githubusercontent.com/mehd-io/duckdb-dataviz-demo/ae4db0f119bccdc404ede57f162ec2199c132dd8/screenshots/streamlit_dashboard.png
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/streamlit-demo/app.py:
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1 | import streamlit as st
2 | import duckdb
3 | import pandas as pd
4 | import matplotlib.pyplot as plt
5 |
6 | # Connect to your DuckDB database
7 | con = duckdb.connect(database='duckdb_stats.db', read_only=True)
8 |
9 | # Streamlit page configuration
10 | st.title("🦆 DuckDB pypi stats | Streamlit")
11 |
12 | # Date Window Filter
13 | min_date, max_date = con.execute("SELECT MIN(timestamp_day), MAX(timestamp_day) FROM duckdb_stats.main.daily_stats").fetchone()
14 | start_date, end_date = st.sidebar.date_input("Select Date Range", [min_date, max_date])
15 |
16 | # Query for filtered data
17 | query = """
18 | SELECT
19 | DATE_TRUNC('month', timestamp_day) AS month,
20 | SUM(daily_download_count) AS total_downloads,
21 | python_version,
22 | cpu
23 | FROM duckdb_stats.main.daily_stats
24 | WHERE timestamp_day BETWEEN ? AND ?
25 | GROUP BY month, python_version, cpu
26 | ORDER BY month
27 | """
28 | df = con.execute(query, (start_date, end_date)).df()
29 |
30 | # Total Downloads
31 | total_downloads = df['total_downloads'].sum()
32 |
33 | # Function to format numbers for readability
34 | def human_readable_number(num):
35 | for unit in ['', 'K', 'M', 'B']:
36 | if abs(num) < 1000:
37 | return f"{num:.0f}{unit}"
38 | num /= 1000
39 | return f"{num:.0f}T"
40 |
41 | st.metric("Total Downloads", human_readable_number(total_downloads))
42 |
43 | # Line Graph of Downloads Over Time
44 | st.subheader("Monthly Downloads Over Time")
45 | df_monthly = df.groupby('month')['total_downloads'].sum().reset_index()
46 | st.line_chart(df_monthly, x='month')
47 |
48 | # Line Graph of Python Versions Usage
49 | st.subheader("Python Version Usage Over Time")
50 | df_python_version = df.groupby(['month', 'python_version'])['total_downloads'].sum().unstack().fillna(0)
51 | st.line_chart(df_python_version)
52 |
53 | # CPU Usage Table
54 | st.subheader("CPU Usage Summary")
55 | df_cpu = df.groupby(['cpu'])['total_downloads'].sum().reset_index()
56 | df_cpu['Percentage'] = (df_cpu['total_downloads'] / total_downloads) * 100
57 | df_cpu = df_cpu.sort_values(by='total_downloads', ascending=False)
58 | st.table(df_cpu.style.format({'total_downloads': '{:,.0f}', 'Percentage': '{:.2f}%'}))
59 |
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/streamlit-demo/duckdb_stats.db:
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/streamlit-demo/poetry.lock:
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1 | # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
2 |
3 | [[package]]
4 | name = "altair"
5 | version = "5.2.0"
6 | description = "Vega-Altair: A declarative statistical visualization library for Python."
7 | optional = false
8 | python-versions = ">=3.8"
9 | files = [
10 | {file = "altair-5.2.0-py3-none-any.whl", hash = "sha256:8c4888ad11db7c39f3f17aa7f4ea985775da389d79ac30a6c22856ab238df399"},
11 | {file = "altair-5.2.0.tar.gz", hash = "sha256:2ad7f0c8010ebbc46319cc30febfb8e59ccf84969a201541c207bc3a4fa6cf81"},
12 | ]
13 |
14 | [package.dependencies]
15 | jinja2 = "*"
16 | jsonschema = ">=3.0"
17 | numpy = "*"
18 | packaging = "*"
19 | pandas = ">=0.25"
20 | toolz = "*"
21 | typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
22 |
23 | [package.extras]
24 | dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff (>=0.1.3)", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=1.1.0)"]
25 | doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
26 |
27 | [[package]]
28 | name = "attrs"
29 | version = "23.1.0"
30 | description = "Classes Without Boilerplate"
31 | optional = false
32 | python-versions = ">=3.7"
33 | files = [
34 | {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
35 | {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
36 | ]
37 |
38 | [package.extras]
39 | cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
40 | dev = ["attrs[docs,tests]", "pre-commit"]
41 | docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
42 | tests = ["attrs[tests-no-zope]", "zope-interface"]
43 | tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
44 |
45 | [[package]]
46 | name = "blinker"
47 | version = "1.7.0"
48 | description = "Fast, simple object-to-object and broadcast signaling"
49 | optional = false
50 | python-versions = ">=3.8"
51 | files = [
52 | {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"},
53 | {file = "blinker-1.7.0.tar.gz", hash = "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"},
54 | ]
55 |
56 | [[package]]
57 | name = "cachetools"
58 | version = "5.3.2"
59 | description = "Extensible memoizing collections and decorators"
60 | optional = false
61 | python-versions = ">=3.7"
62 | files = [
63 | {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
64 | {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
65 | ]
66 |
67 | [[package]]
68 | name = "certifi"
69 | version = "2023.11.17"
70 | description = "Python package for providing Mozilla's CA Bundle."
71 | optional = false
72 | python-versions = ">=3.6"
73 | files = [
74 | {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
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77 |
78 | [[package]]
79 | name = "charset-normalizer"
80 | version = "3.3.2"
81 | description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
82 | optional = false
83 | python-versions = ">=3.7.0"
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1513 |
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1515 | watchmedo = ["PyYAML (>=3.10)"]
1516 |
1517 | [[package]]
1518 | name = "zipp"
1519 | version = "3.17.0"
1520 | description = "Backport of pathlib-compatible object wrapper for zip files"
1521 | optional = false
1522 | python-versions = ">=3.8"
1523 | files = [
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1526 | ]
1527 |
1528 | [package.extras]
1529 | docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
1530 | testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
1531 |
1532 | [metadata]
1533 | lock-version = "2.0"
1534 | python-versions = ">=3.9,<3.9.7 || >3.9.7,<4.0"
1535 | content-hash = "397d5ec50a3c8aec0940d3b7b1fcbd89317aa0344182a67e999e1f96e78d70e6"
1536 |
--------------------------------------------------------------------------------
/streamlit-demo/pyproject.toml:
--------------------------------------------------------------------------------
1 | [tool.poetry]
2 | name = "streamlit-demo"
3 | version = "0.1.0"
4 | description = ""
5 | authors = ["mehd-io "]
6 |
7 | [tool.poetry.dependencies]
8 | python = ">=3.9,<3.9.7 || >3.9.7,<4.0"
9 | pandas = "^2.1.3"
10 | streamlit = "^1.29.0"
11 | matplotlib = "^3.8.2"
12 | duckdb = "^0.9.2"
13 |
14 |
15 | [build-system]
16 | requires = ["poetry-core"]
17 | build-backend = "poetry.core.masonry.api"
18 |
--------------------------------------------------------------------------------