├── .gitignore ├── CONTRIBUTING.md ├── PULL_REQUEST_TEMPLATE.md ├── LICENSE └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | *.gbff 2 | *.log 3 | *.gbk 4 | *.pyc 5 | *.db 6 | *.ffn.best 7 | shiny_dir_mana.txt 8 | /.Rproj* 9 | /.idea 10 | /.idea/** 11 | .spyproject/* -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | ==================================== 2 | Contributing to this project 3 | ==================================== 4 | 5 | # The pull request should have a useful title. Pull requests with `Update readme.md` as title will be closed right away 6 | because I'm so tired of nobody reading this document. Please carefully read everything in `Adding to this list`. 7 | 8 | Version Control - Forking 9 | ------------------------- 10 | 11 | * Always **Fork the Dev-Master branch** for your work. This makes 12 | it safer and easier to incorporate your work into the newest 13 | version of our Awesome-Rshiny list. 14 | 15 | * Always **Have a Useful Title**. 16 | 17 | * Always answer the questions in **The Pull Request Template**, when 18 | you are submitting a new PR. If you want your name added, then 19 | write your name, and then add an appropriate link for people to click on. 20 | 21 | Code formatting 22 | --------------- 23 | 24 | * **Follow the style you see used in the primary repository**! Consistency with 25 | the rest of the project always trumps other considerations. 26 | * Python projects usually follow the `PEP-8 27 | `_ guidelines (though many have 28 | minor deviations depending on the lead maintainers' preferences.) 29 | 30 | Documentation 31 | ------------- 32 | 33 | * Make sure that when you add to the list that: 34 | 1. It belongs in that section. 35 | 2. The title makes since. 36 | 3. The link works. 37 | -------------------------------------------------------------------------------- /PULL_REQUEST_TEMPLATE.md: -------------------------------------------------------------------------------- 1 | For adding tutorials, packages, or apps 2 | =========================================== 3 | 4 | 5 | 6 | ##### What did you add to the README.md file? 7 | 8 | 9 | 10 | Have you ensured your contribution adheres to the pull request guidelines of [awesome](https://github.com/sindresorhus/awesome/edit/master/pull_request_template.md)? In particular: 11 | 12 | - Not a duplicate. 13 | - Only has awesome items. Awesome lists are curations of the best, not everything. 14 | - Has consistent formatting and proper spelling/grammar. 15 | - The link and description are separated by a dash.
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This awesome list was inspired by https://github.com/dpastoor/awesome-shiny. 4 | 5 | ### This list is currently featured on [Awesome-R!](https://awesome-r.com/) 6 | 7 | - [Resources](#resources) 8 | - [General](#general) 9 | - [Community](#community) 10 | - [Deployment](#deployment) 11 | - [Tutorials](#tutorials) 12 | - [Tools](#tools) 13 | - [Packages](#packages) 14 | - [Integrations](#integrations) 15 | - [People](#people) 16 | - [Books](#books) 17 | - [Galleries](#galleries) 18 | - [App Examples](#app-examples) 19 | - [Contributors](#contributors) 20 | 21 | 22 | # Resources 23 | 24 | ## General 25 | * [Official Website](http://shiny.rstudio.com/) 26 | * [Blog](https://blog.rstudio.org/category/shiny/) 27 | * [Articles](http://shiny.rstudio.com/articles/) 28 | * [Webinars](https://www.rstudio.com/resources/webinars/) 29 | * [2017 Conference](https://www.rstudio.com/conference/) 30 | * [Training](https://www.rstudio.com/instructors/) 31 | * [Function References](http://shiny.rstudio.com/reference/shiny/latest/) 32 | * [GitHub](https://github.com/rstudio/shiny) 33 | 34 | ## Community 35 | * [Shiny Server Forum](https://support.rstudio.com/hc/en-us/community/topics/200092706-Shiny-Server) 36 | * [StackOverflow Questions](http://stackoverflow.com/questions/tagged/shiny) 37 | * [R-bloggers](http://www.r-bloggers.com/search/shiny) 38 | * [Google Group](https://groups.google.com/forum/#!forum/shiny-discuss) 39 | * [RStudio Community](https://community.rstudio.com/c/shiny) 40 | * [rOpenSci](https://ropensci.org/) 41 | * [R-Shiny on Reddit](https://www.reddit.com/r/rshiny/) 42 | * [RGov - Government network for R/Shiny](https://rdotgov.wordpress.com/deploy-shiny/) 43 | 44 | ## Deployment 45 | ### Self Hosting 46 | * [Shiny Server](https://github.com/rstudio/shiny-server) - Back end software that builds a web server for shiny apps. 47 | * [RStudio Connect](https://www.rstudio.com/products/connect/) - Back end software for hosing shiny applications, Rmarkdown... plus other features for enterprise contexts. 48 | * [Shinyproxy](https://www.shinyproxy.io/) - Uses 49 | containers for hosting shiny apps and a Java server control and proxy traffic to the app containers. [How-to Blog](http://lukesingham.com/shiny-containers-with-shinyproxy/). 50 | 51 | ### Platform As A Service (PAAS) 52 | * [ShinyApps.io](http://www.shinyapps.io/) - Rstudio's PAAS specifically for hosting shiny apps. 53 | * [Heroku](https://www.heroku.com) - General cloud application platform that can be utilised by shiny apps with these [buildpack scripts](https://github.com/virtualstaticvoid/heroku-buildpack-r/tree/heroku-16). 54 | 55 | ## Tutorials 56 | * [The R-Podcast](https://r-podcast.org/) 57 | * [Episode 15: Introduction to Shiny](https://r-podcast.org/episode/015-introduction-to-shiny/) 58 | * [Episode 16: Interview with Dean Attali](https://r-podcast.org/episode/016-interview-with-dean-attali/) 59 | * [Episode 17: A simply Radiant Chat with Vincent Nijs](https://r-podcast.org/episode/017-a-simply-radiant-chat-with-vincent-nijs/) 60 | * [Episode 18: Interviews with the R-Studio Team](https://r-podcast.org/episode/018-interviews-with-the-rstudio-team/) 61 | * [Episode 19: Talking Shiny at R-Studio Conf wiht Barabara Borges and Dean Attali](https://r-podcast.org/episode/019-talking-shiny-at-rstudio-conf-with-barbara-borges-and-dean-attali/) 62 | * [Episode 21: Talking Rcpp and More with Dirk Eddelbuettel](https://r-podcast.org/episode/021-talking-rcpp-and-more-with-dirk-eddelbuettel/) 63 | * [R-Studio (video)](https://shiny.rstudio.com/tutorial/) 64 | * [RStartHere](https://github.com/rstudio/RStartHere) 65 | * [Effective Reactive Programming – Part 1 & Part 2](https://www.rstudio.com/resources/videos/effective-reactive-programming/) 66 | * [Coordinated multiple views (linked brushing)](https://www.rstudio.com/resources/videos/coordinated-multiple-views-linked-brushing/) 67 | * [Building interactive tools for exploratory data analysis (gadgets)](https://www.rstudio.com/resources/videos/building-interactive-tools-for-exploratory-data-analysis/) 68 | * [Improvements in deploying apps](https://www.rstudio.com/resources/videos/deploying-apps/) 69 | * [Modularizing Shiny app code](https://www.rstudio.com/resources/videos/modularizing-shiny-app-code/) 70 | * [Shiny UI](https://www.rstudio.com/resources/videos/shiny-ui/) 71 | * [Debugging Techniques](https://www.rstudio.com/resources/videos/debugging-techniques/) 72 | * [Profiling and Performance](https://www.rstudio.com/resources/videos/profiling-and-performance/) 73 | * [Interfacing DataTables](https://www.rstudio.com/resources/videos/interfacing-datatables/) 74 | * [Complex application layouts with Grid Style Sheets](https://www.rstudio.com/resources/videos/grid-style-sheets/) 75 | * [Building Dashboards](https://www.rstudio.com/resources/videos/building-dashboards/) 76 | * [R-Studio (YouTube)](https://www.youtube.com/playlist?list=PL9HYL-VRX0oTAHdR62i2YaLNmJhFiiwaO) 77 | * [R-Studio (Vimeo)](https://vimeo.com/rstudioinc) 78 | * [Dean Attali](http://deanattali.com/) 79 | * [Blog Post: Building Shiny apps - an interactive tutorial](http://deanattali.com/blog/building-shiny-apps-tutorial/) 80 | * [Blog Post: Shiny tips & tricks for improving your apps and solving common problems](http://deanattali.com/blog/advanced-shiny-tips/) 81 | * [Blog Post: How to get your very own RStudio Server and Shiny Server with DigitalOcean](http://deanattali.com/2015/05/09/setup-rstudio-shiny-server-digital-ocean/) 82 | * [Blog Post: Mimicking a Google Form with a shiny app](http://deanattali.com/2015/06/14/mimicking-google-form-shiny/) 83 | * [Blog post: Persistent data storage (and retrieval) in Shiny apps](http://deanattali.com/blog/shiny-persistent-data-storage/) 84 | * [Blog post: How to set-up shiny server on Ubuntu 14.04](https://www.digitalocean.com/community/tutorials/how-to-set-up-shiny-server-on-ubuntu-14-04) 85 | * [Course: Stat545](http://stat545.com/) 86 | * [Advanced-Shiny](https://github.com/daattali/advanced-shiny) 87 | * [Joe Cheng](https://medium.com/@joe.cheng) 88 | * [Async programming in R and Shiny](https://medium.com/@joe.cheng/async-programming-in-r-and-shiny-ebe8c5010790) 89 | * [An informal intro to async Shiny](https://medium.com/@joe.cheng/an-informal-intro-to-async-shiny-cbf01c85c4c5) 90 | * [Abhinav Agrawal (YouTube)](https://www.youtube.com/playlist?list=PL6wLL_RojB5xNOhe2OTSd-DPkMLVY9DfB) 91 | * [AHmed HAsan (YouTube)](https://www.youtube.com/playlist?list=PLXiYeGj1hvHN5Nnu2VwRg_E-YMoc1vtan) 92 | * [Zev-Ross](http://zevross.com/blog/2016/04/19/r-powered-web-applications-with-shiny-a-tutorial-and-cheat-sheet-with-40-example-apps/) 93 | * [Shiny Based Tablet or Desktop App](https://www.r-bloggers.com/shiny-based-tablet-or-desktop-app/) 94 | * [Cheat Sheets](https://www.rstudio.com/resources/cheatsheets/) 95 | * [I-BioStat - Tutorial in R-Shiny](https://ibiostat.be/seminar/uploads/introdcution-r-shiny-package-20160330.pdf) 96 | * [Neon Data Skills - RShiny basics](http://neondataskills.org/R/Create-Basic-Shiny-App-In-R) 97 | * [How to write web apps in R with Shiny](https://opensource.com/article/17/1/writing-new-web-apps-shiny) 98 | * [Deploying Shiny as a Portable Desktop App](http://oddhypothesis.blogspot.com/2014/04/deploying-self-contained-r-apps-to.html) 99 | * [CI/CD with Shiny and Kubernetes](https://blog.kublr.com/delivering-data-science-for-the-enterprise-with-shiny-r-in-kubernetes-8430c88d1b52) 100 | * [Shiny Server on Docker: CentOS 7 Edition](http://www.datascienceriot.com/r/shiny-docker/) 101 | * [Use Docker to distribute and run Shiny apps](https://wabi-wiki.scilifelab.se/display/KB/Use+Docker+to+distribute+and+run+Shiny+apps) 102 | * [Dockerizing a Shiny App](http://www.rmining.net/2015/04/30/dockerizing-a-shiny-app/index.html) 103 | 104 | # Tools 105 | 106 | ## Packages 107 | * [R-Studio]() 108 | * [shinydashboard](https://github.com/rstudio/shinydashboard) - A package that makes it easy to use Shiny to create dashboards. 109 | * [shinythemes](https://github.com/rstudio/shinythemes) - A package that provides some Bootstrap themes for use with Shiny. 110 | * [shinygadgets](https://github.com/rstudio/shinygadgets) - A package for R that helps you create interactive tools based on the Shiny web framework, that assist in data analysis tasks. 111 | * [shinyAce](https://github.com/trestletech/shinyAce) - Integrate ace editor with shiny. 112 | * [shinyBS](https://github.com/ebailey78/shinyBS) - Twitter Bootstrap Components for Shiny. 113 | * [shinyjs](https://github.com/daattali/shinyjs) - Common javascript operations in shiny via R code. 114 | * [colourpicker](https://github.com/daattali/colourpicker) - Colour picker widget that can be used in different contexts in R. 115 | * [shinyEvents](https://github.com/skranz/shinyEvents) - Alternative way to build shiny apps based on event handlers. 116 | * [ShinySky](https://github.com/AnalytixWare/ShinySky) - Various UI widgets/components not part of Shiny e.g. alerts, styled buttons. 117 | * [radiant](https://github.com/radiant-rstats/radiant) - Business analytics using R and Shiny. 118 | * [shinyTree](https://github.com/tdanker/shinyTree) - Enables Shiny application developers to use the jsTree library in their applications. 119 | * [shinystan](http://mc-stan.org/interfaces/shinystan) - Provides visual and numerical summaries of model parameters and convergence diagnostics for MCMC simulations. 120 | * [shinyjqui](https://github.com/Yang-Tang/shinyjqui) - jQuery UI interactions and effects for shiny. 121 | * [bsplus](https://github.com/ijlyttle/bsplus) - Shiny and R Markdown addons to Bootstrap 3. 122 | * [shinyFiles](https://github.com/thomasp85/shinyFiles) - Extends the functionality of shiny by providing an API for client side access to the server file system. 123 | * [shinyDND](https://github.com/ayayron/shinydnd) - Create Shiny drag and drop elements in R. 124 | * [shinyforms](https://github.com/daattali/shinyforms) - Easily create questionnaire-type forms with Shiny. 125 | * [ECharts2Shiny](https://github.com/XD-DENG/ECharts2Shiny) - Insert interactive charts from ECharts into Shiny. 126 | * [shinyFeedback](https://github.com/merlinoa/shinyFeedback) - Display user feedback along side Shiny inputs. 127 | * [shinycssloader](https://github.com/andrewsali/shinycssloaders) - Add CSS loader animations to Shiny outputs. 128 | * [regexSelect](https://github.com/yonicd/regexSelect) - Enable regular expression searches within a shiny selectize object. 129 | * [rclipboard](https://github.com/sbihorel/rclipboard) - clipboard.js for R/Shiny Applications. 130 | * [directoryInput](https://github.com/wleepang/shiny-directory-input) - Widget for interactive selection of directories. 131 | * [shinymaterial](https://github.com/ericrayanderson/shinymaterial) - Implements Google Material Design in Shiny Applications. 132 | * [shinysense](https://github.com/nstrayer/shinysense) - Series of Shiny modules to help Shiny sense the world around it. 133 | 134 | ## Integrations 135 | * [Tableau](https://www.mandsconsulting.com/hosting-a-shiny-app-in-tableau) - Host a Shiny App in Tableau. 136 | * [HTML Widgets/Javascript](http://www.htmlwidgets.org/) 137 | * [Crosstalk](https://rstudio.github.io/crosstalk/shiny.html) - Extends htmlwidgets with functionality for implementing cross-widget interactions. 138 | * [DT](https://github.com/rstudio/DT) - Provides a function `datatable()` to display R data via the DataTables javascript library. 139 | * [leaflet](http://rstudio.github.io/leaflet/shiny.html) - JavaScript library for creating dynamic maps that support panning and zooming along with various annotations like markers, polygons, and popups. 140 | * [d3heatmap](https://github.com/rstudio/d3heatmap) - Implements a D3 heatmap htmlwidget. 141 | * [dygraphs](https://github.com/rstudio/dygraphs) - R interface to the dygraphs JavaScript charting library. It provides rich facilites for charting time-series data in R. 142 | * [DiagrammeR](https://github.com/rich-iannone/DiagrammeR) - Tool for creating diagrams and flowcharts using Graphviz and Mermaid. 143 | * [MetricsGraphics](https://github.com/hrbrmstr/metricsgraphics) - Enables easy creation of D3 scatterplots, line charts, and histograms. 144 | * [networkD3](https://github.com/christophergandrud/networkD3) - Graph data visualization with D3. 145 | * [rthreejs](https://github.com/bwlewis/rthreejs) - 3D scatterplots and globes. 146 | * [rbokeh](http://hafen.github.io/rbokeh/) - Interface to Bokeh that provides a flexible, powerful, declarative framework for creating interactive plots. 147 | * [plotly](https://github.com/ropensci/plotly) - Easily translate your ggplot2 graphics to an interactive web-based version, and also provides bindings to the plotly.js graphing library. 148 | * [formattable](https://renkun.me/formattable/) - This package is designed for applying formatting on vectors and data frames to make data presentation easier, richer, more flexible and hopefully convey more information. 149 | * [Gallery of HTML Widgets](http://gallery.htmlwidgets.org/) - Gallery of all R htmlwidgets. 150 | * [manipulateWidget](https://github.com/rte-antares-rpackage/manipulateWidget) 151 | * [flexdashboard](http://rmarkdown.rstudio.com/flexdashboard/index.html) - Easy interactive dashboards for R. 152 | * [Shiny in Rmarkdown](http://rmarkdown.rstudio.com/authoring_shiny.html) - Run shiny apps in rmarkdown documents. 153 | * [ggvis](https://github.com/rstudio/ggvis) - Make it easy to describe interactive web graphics in R. 154 | * [RInno](https://github.com/ficonsulting/RInno) - Install local shiny apps by providing an interface between R and Inno Setup, (Windows Only). 155 | * [googleVis](https://github.com/mages/googleVis) - An interface between R and the [Google's charts tools](https://developers.google.com/chart/). 156 | 157 | # People 158 | * [Dean Attali](https://github.com/daattali) 159 | * [Joe Cheng](https://github.com/jcheng5) 160 | * [Winston Chang](https://github.com/wch) 161 | * [Barbara Borges Ribeiro](https://github.com/bborgesr) 162 | * [Ramnath Vaidyanathan](https://github.com/ramnathv) 163 | * [Jeff Allen](https://github.com/trestletech) 164 | * [Vincent Nijs](https://github.com/vnijs) 165 | * [Sebastian Kranz](https://github.com/skranz) 166 | 167 | # Books 168 | * [Web Application and Development Using Shiny (2nd edition) - by Chris Beely](https://www.amazon.com/Web-Application-Development-using-Shiny/dp/1782174346) 169 | * [Learing Shiny - by Hernán G. Resnizky](https://www.amazon.com/Learning-Shiny-Hernan-G-Resnizky/dp/1785280902) 170 | 171 | # Galleries 172 | * [R-Studio]() 173 | * [Shiny User Showcase](https://www.rstudio.com/products/shiny/shiny-user-showcase/) - Featured user Shiny apps. 174 | * [Shiny Gallery](https://shiny.rstudio.com/gallery/) - Shiny apps and much more. 175 | * [Showmeshiny](http://www.showmeshiny.com/) - Huge gallery of Shiny apps. 176 | * [Shiny Widgets](http://shinyapps.org/) - Experience statistics with apps designed for teaching and analysis. 177 | * [Html Widgets]() 178 | * [Html Widgets Showcase](http://www.htmlwidgets.org/showcase_leaflet.html) - Featured Html widgets. 179 | * [Html Widgets Gallery](http://gallery.htmlwidgets.org/) - User submitted Html widgets. 180 | * [R Graph Catalog](http://shinyapps.stat.ubc.ca/r-graph-catalog/) - Complement to the book “Creating More Effective Graphs” by Naomi Robbins. 181 | 182 | # App Examples 183 | * [R-Studio Examples](https://github.com/rstudio/shiny-examples) 184 | * [Waze](https://www.rstudio.com/resources/customer-spotlight/waze_story/) - Community based real-time traffic and navigation info. 185 | * [Astra Zenca](https://www.rstudio.com/resources/customer-spotlight/astra_zeneca/) - Data science tools used to create medicines more efficiently. 186 | * [shiny-salesman](https://github.com/toddwschneider/shiny-salesman) - Traveling salesman app. 187 | * [shinyEd](https://github.com/ShinyEd/ShinyEd) - Statistics education apps. 188 | * [shinyData](https://github.com/yindeng/shinyData) - Interactive data analysis and visualization. 189 | * [STARTapp](https://github.com/jminnier/STARTapp) - Transcriptome Analysis Resource Tool. 190 | * [shiny-phyloseq](https://github.com/joey711/shiny-phyloseq) - Provides a graphical user interface to the microbiome analysis package for R, called phyloseq. 191 | * [Google Analytics Dashboard](https://github.com/MarkEdmondson1234/ga-dashboard-demo) - Demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL. 192 | * [BallR](https://github.com/toddwschneider/ballr) - Uses the NBA Stats API to visualize every shot taken by a player during an NBA season dating back to 1996. 193 | * [DDCV](https://github.com/xtmgah/DDCV) - Evaluate drug-drug interactions. 194 | * [Github: Hot or Not](https://github.com/wsurles/github_hot_or_not) - Analyzes what repos are hot on github. 195 | * [GenMap-Comparator](https://github.com/holtzy/GenMap-Comparator) - Compare genetic maps with D3 & Shiny. 196 | * [MAVIS](https://github.com/kylehamilton/MAVIS) - MAVIS: Meta Analysis via Shiny. 197 | * [shinyTreeViewer](https://github.com/KlausVigo/shinyTreeViewer) - Simple treeviewer based on the R packages ape and phangorn. 198 | * [iTunes Reviews Analysis](https://github.com/amrrs/itunesr_webapp) - iTunes App Store Reviews Text Extractor and Text Analysis Web App. 199 | * [NYT Bar Optimizer](https://github.com/jordanmeyer/nyt-bar-optimizer) - Optimize your liquor cabinet using cocktail recipes from New York Times Cooking. 200 | * [Lights Out game](https://daattali.com/shiny/lightsout/) - Lights Out is a puzzle game consisting of a grid of lights that are either on or off. 201 | * Australian Tax Office: 202 | * [Workforce Demographics](https://atogov.shinyapps.io/workforcedmgs/) - View a range of workforce related demographics information across an organisation. [Source Code](https://github.com/atogov/workforceDmgs). 203 | * [Bivariate Demographics](https://atogov.shinyapps.io/bivariatedmgs/) - Examine how an organisation is performing on a range of demographic information. [Source Code](https://github.com/atogov/bivariateDmgs). 204 | * [Shiny Database App (CRUD)](https://ipub.com/dev-corner/apps/shiny_crud01/) - An example of a [CRUD](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete) shiny app with [accompanying how-to post](https://ipub.com/shiny-crud-app/). 205 | * [taskviewr](https://bearloga.shinyapps.io/taskviewr/) - A Shiny app for browsing R packages by CRAN Task Views and license info. 206 | * [homebrewR](https://davesteps.shinyapps.io/homebrewR/) - An app to explore and compare beer recipes. 207 | * [Vinylspotting](https://ewenme.shinyapps.io/vinylspotting/) - A Shiny app for Discogs users to visualize and explore their record collections. 208 | * [polMonitor](https://ewenme.shinyapps.io/polMonitor/) - A Shiny app for monitoring police violence in the United States. 209 | 210 | # Contributors 211 | * [Rob Gilmore](https://github.com/grabear) 212 | * [Shaurita Hutchins](https://github.com/sdhutchins) 213 | * [Devin Pastoor](https://github.com/dpastoor) 214 | * [Dean Attali](https://github.com/daattali) 215 | * [Luke Singham](https://github.com/ucg8j) 216 | * [Abdul Majed Raja](https://www.github.com/amrrs) 217 | * [Leonardo Trimarchi](https://domthecodingcaveman.wordpress.com/) 218 | * [Kshitiz Khanal](http://twitter.com/kshitizkhanal7) 219 | --------------------------------------------------------------------------------