-
Notifications
You must be signed in to change notification settings - Fork 139
/
README.md
299 lines (267 loc) · 26.3 KB
/
README.md
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
<div align="center">
<img width="500" height="350" src="media/awesome-rshiny-logo.svg" alt="Awesome">
</div>
[](https://gitter.im/awesome-rshiny/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [](https://awesome.re)
A curated list of resources for R Shiny. (*Featured on [Awesome-R](https://awesome-r.com/)*)
# Contents
- [Resources](#resources)
- [General](#general)
- [Community](#community)
- [Deployment](#deployment)
- [Tutorials](#tutorials)
- [Tools](#tools)
- [Packages](#packages)
- [Integrations](#integrations)
- [People](#people)
- [Books](#books)
- [Galleries](#galleries)
- [App Examples](#app-examples)
- [Contributors](#contributors)
## Resources
### General
- [Official Website](http://shiny.rstudio.com/)
- [Blog](https://blog.rstudio.org/category/shiny/)
- [Articles](http://shiny.rstudio.com/articles/)
- [Old Webinars Page](https://www.rstudio.com/resources/webinars/)
- [Shiny Essentials](https://www.rstudio.com/resources/webinars/#shinyessentials)
- [Advanced Shiny](https://www.rstudio.com/resources/webinars/#advancedshiny)
- [New Webinars Page](https://resources.rstudio.com/webinars)
- [2019/2020 Conference](https://www.rstudio.com/conference/)
- [Training](https://www.rstudio.com/certified-partners/)
- [Consultants](https://community.rstudio.com/groups/consultants/)
- [Function References](http://shiny.rstudio.com/reference/shiny/latest/)
- [GitHub](https://github.com/rstudio/shiny)
### Community
- [Shiny Server Forum](https://support.rstudio.com/hc/en-us/sections/204025308-Shiny-Server)
- [Stack Overflow Questions](http://stackoverflow.com/questions/tagged/shiny)
- [R-bloggers](http://www.r-bloggers.com/search/shiny)
- [Google Group](https://groups.google.com/forum/#!forum/shiny-discuss)
- [RStudio Community](https://community.rstudio.com/c/shiny)
- [rOpenSci](https://ropensci.org/)
- [R-Shiny on Reddit](https://www.reddit.com/r/rshiny/)
- [RGov - Government network for R/Shiny](https://rdotgov.wordpress.com/deploy-shiny/)
### Deployment
#### Self Hosting
- [Shiny Server](https://github.com/rstudio/shiny-server) - Back end software that builds a web server for shiny apps.
- [RStudio Connect](https://www.rstudio.com/products/connect/) - Back end software for hosing shiny applications, Rmarkdown, plus other features for enterprise contexts.
- [Shinyproxy](https://www.shinyproxy.io/) - Uses 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/).
- [ShinyStudio](https://github.com/dm3ll3n/ShinyStudio) - Builds on the [Rocker project](https://www.rocker-project.org/) by including ShinyProxy to provide secured access to RStudio, VS Code, and Shiny.
#### Platform As A Service (PAAS)
- [ShinyApps.io](http://www.shinyapps.io/) - Rstudio's PAAS specifically for hosting shiny apps.
- [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).
### Tutorials
- [The R-Podcast](https://r-podcast.org/)
- [Episode 15: Introduction to Shiny](https://r-podcast.org/episode/015-introduction-to-shiny/)
- [Episode 16: Interview with Dean Attali](https://r-podcast.org/episode/016-interview-with-dean-attali/)
- [Episode 17: A simply Radiant Chat with Vincent Nijs](https://r-podcast.org/episode/017-a-simply-radiant-chat-with-vincent-nijs/)
- [Episode 18: Interviews with the R-Studio Team](https://r-podcast.org/episode/018-interviews-with-the-rstudio-team/)
- [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/)
- [Episode 21: Talking Rcpp and More with Dirk Eddelbuettel](https://r-podcast.org/episode/021-talking-rcpp-and-more-with-dirk-eddelbuettel/)
- [Episode 25: Interview with Ian Lyttle (Rstudio::Conf 2018](https://r-podcast.org/episode/025-rstudioconf-ian-lyttle/)
- [Episode 27: Get The {Gt} Tables (Rstudio::Conf 2019)](https://r-podcast.org/episode/027-rstudioconf-tables/)
- [R-Studio (video)](https://shiny.rstudio.com/tutorial/)
- [RStartHere](https://github.com/rstudio/RStartHere)
- [Effective Reactive Programming – Part 1 & Part 2](https://www.rstudio.com/resources/videos/effective-reactive-programming/)
- [Coordinated multiple views (linked brushing)](https://www.rstudio.com/resources/videos/coordinated-multiple-views-linked-brushing/)
- [Building interactive tools for exploratory data analysis (gadgets)](https://www.rstudio.com/resources/videos/building-interactive-tools-for-exploratory-data-analysis/)
- [Improvements in deploying apps](https://www.rstudio.com/resources/videos/deploying-apps/)
- [Modularizing Shiny app code](https://www.rstudio.com/resources/videos/modularizing-shiny-app-code/)
- [Shiny UI](https://www.rstudio.com/resources/videos/shiny-ui/)
- [Debugging Techniques](https://www.rstudio.com/resources/videos/debugging-techniques/)
- [Profiling and Performance](https://www.rstudio.com/resources/videos/profiling-and-performance/)
- [Interfacing DataTables](https://www.rstudio.com/resources/videos/interfacing-datatables/)
- [Complex application layouts with Grid Style Sheets](https://www.rstudio.com/resources/videos/grid-style-sheets/)
- [Building Dashboards](https://www.rstudio.com/resources/videos/building-dashboards/)
- [R-Studio (YouTube)](https://www.youtube.com/playlist?list=PL9HYL-VRX0oTAHdR62i2YaLNmJhFiiwaO)
- [R-Studio (Vimeo)](https://vimeo.com/rstudioinc)
- [DataCamp](https://www.datacamp.com/)
- [Building Web Applications in R with Shiny](https://www.datacamp.com/courses/building-web-applications-in-r-with-shiny)
- [Dean Attali: Shiny Case Studies: My new online interactive video course (DataCamp)](https://deanattali.com/blog/shiny-use-cases-datacamp-course/)
- [Dean Attali](https://deanattali.com/shiny/)
- [CRANalerts: Get email alerts when a CRAN package gets updated](https://cranalerts.com/)
- [Blog Post: Building Shiny apps - an interactive tutorial](http://deanattali.com/blog/building-shiny-apps-tutorial/)
- [Blog Post: Shiny tips & tricks for improving your apps and solving common problems](http://deanattali.com/blog/advanced-shiny-tips/)
- [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/)
- [Blog Post: Mimicking a Google Form with a shiny app](http://deanattali.com/2015/06/14/mimicking-google-form-shiny/)
- [Blog post: Persistent data storage (and retrieval) in Shiny apps](http://deanattali.com/blog/shiny-persistent-data-storage/)
- [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)
- [Course: Stat545](http://stat545.com/)
- [Advanced-Shiny](https://github.com/daattali/advanced-shiny)
- [Joe Cheng](https://medium.com/@joe.cheng)
- [Async programming in R and Shiny](https://medium.com/@joe.cheng/async-programming-in-r-and-shiny-ebe8c5010790)
- [An informal intro to async Shiny](https://medium.com/@joe.cheng/an-informal-intro-to-async-shiny-cbf01c85c4c5)
- [Alyssa Columbus](https://alyssacolumbus.com)
- [Blog Post: Introduction to R Shiny](https://opendatascience.com/introduction-to-r-shiny/)
- [Abhinav Agrawal (YouTube)](https://www.youtube.com/playlist?list=PL6wLL_RojB5xNOhe2OTSd-DPkMLVY9DfB)
- [AHmed HAsan (YouTube)](https://www.youtube.com/playlist?list=PLXiYeGj1hvHN5Nnu2VwRg_E-YMoc1vtan)
- [Zev-Ross](http://zevross.com/blog/2016/04/19/r-powered-web-applications-with-shiny-a-tutorial-and-cheat-sheet-with-40-example-apps/)
- [Cheat Sheet](https://www.rstudio.com/resources/cheatsheets/#shiny)
- [Delivering Data Science for the Enterprise with Shiny in Kubernetes](https://blog.kublr.com/delivering-data-science-for-the-enterprise-with-shiny-r-in-kubernetes-8430c88d1b52)
- [Shiny Server on Docker: CentOS 7 Edition](http://www.datascienceriot.com/r/shiny-docker/)
- [Use Docker to distribute and run Shiny apps](https://wabi-wiki.scilifelab.se/display/KB/Use+Docker+to+distribute+and+run+Shiny+apps)
- [Dockerizing a Shiny App](http://www.rmining.com.br/2015/04/30/dockerizing-a-shiny-app/index.html)
- [Cookie based authentication with Shiny](https://calligross.de/post/using-cookie-based-authentication-with-shiny/)
- [Speed Up Shiny Coding with Data](https://roh.engineering/post/speeding-up-shiny-coding-with-data/)
## Tools
### Packages
- R-Studio
- [shinydashboard](https://github.com/rstudio/shinydashboard) - Shiny Dashboarding framework.
- [fontawesome](https://github.com/rstudio/fontawesome) - Easily insert FontAwesome icons into R Markdown docs and Shiny apps.
- [shinythemes](https://github.com/rstudio/shinythemes) - Bootstrap themes for use with Shiny.
- [miniUI](https://github.com/rstudio/miniUI) - Provides UI widget and layout functions for writing Shiny apps that work well on small screens.
- [dashboardthemes](https://github.com/nik01010/dashboardthemes) - An experimental R package to provide custom theme options for Shinydashboard applications.
- [shinyAce](https://github.com/trestletech/shinyAce) - Integrate ace editor with shiny.
- [shinyjs](https://github.com/daattali/shinyjs) - Common JavaScript operations in shiny via R code.
- [colourpicker](https://github.com/daattali/colourpicker) - Colour picker widget that can be used in different contexts in R.
- [ShinySky](https://github.com/AnalytixWare/ShinySky) - Various UI widgets/components not part of Shiny e.g. alerts, styled buttons.
- [radiant](https://github.com/radiant-rstats/radiant) - Business analytics using R and Shiny.
- [shinyTree](https://github.com/shinyTree/shinyTree) - Enables Shiny application developers to use the jsTree library in their applications.
- [shinystan](http://mc-stan.org/interfaces/shinystan) - Provides visual and numerical summaries of model parameters and convergence diagnostics for MCMC simulations.
- [shinyjqui](https://github.com/Yang-Tang/shinyjqui) - jQuery UI interactions and effects for shiny.
- [bsplus](https://github.com/ijlyttle/bsplus) - Shiny and R Markdown addons to Bootstrap 3.
- [shinyFiles](https://github.com/thomasp85/shinyFiles) - Extends the functionality of shiny by providing an API for client side access to the server file system.
- [shinyDND](https://github.com/ayayron/shinydnd) - Create Shiny drag and drop elements in R.
- [shinyforms](https://github.com/daattali/shinyforms) - Easily create questionnaire-type forms with Shiny.
- [ECharts2Shiny](https://github.com/XD-DENG/ECharts2Shiny) - Insert interactive charts from ECharts into Shiny.
- [shinyFeedback](https://github.com/merlinoa/shinyFeedback) - Display user feedback along side Shiny inputs.
- [shinycssloaders](https://github.com/daattali/shinycssloaders) - Add CSS loader animations to Shiny outputs.
- [directoryInput](https://github.com/wleepang/shiny-directory-input) - Widget for interactive selection of directories.
- [shinymaterial](https://github.com/ericrayanderson/shinymaterial) - Implements Google Material Design in Shiny Applications.
- [shinysense](https://github.com/nstrayer/shinysense) - Series of Shiny modules to help Shiny sense the world around it.
- [shinyWidgets](https://github.com/dreamRs/shinyWidgets) - Extend input widgets available in Shiny.
- [ggedit](https://github.com/metrumresearchgroup/ggedit) - A Shiny gadget for exploring ggplot objects.
- [shinytest](https://github.com/rstudio/shinytest) - Automated testing for shiny apps.
- [timevis](https://github.com/daattali/timevis/) - Create interactive timeline visualizations in R.
- [shinytoastr](https://github.com/MangoTheCat/shinytoastr) - Notifications in Shiny, via [toastr](https://github.com/CodeSeven/toastr).
- [shiny.collections](https://github.com/Appsilon/shiny.collections) - Google Docs-like live collaboration in Shiny.
- [RinteRface](https://rinterface.com) - A collection of HTML templates for Shiny.
- [shiny.semantic](https://github.com/Appsilon/shiny.semantic) - Semantic UI wrapper for Shiny.
- [yonder](https://github.com/nteetor/yonder) - A reactive web framework built on shiny.
- [shinycustomloader](https://github.com/emitanaka/shinycustomloader) - Add a custom loader for R Shiny.
- [shinybusy](https://github.com/dreamRs/shinybusy) - Minimal busy indicator for Shiny apps.
- [waiter](https://github.com/JohnCoene/waiter) - Loading screens for Shiny.
- [shinyhelper](https://github.com/cwthom/shinyhelper) - Add markdown help files to Shiny apps.
- [shinyauthr](https://github.com/PaulC91/shinyauthr) - Server-side authentication using shiny modules.
- [auth0](https://github.com/curso-r/auth0) - Authentication in Shiny apps using Auth0 service.
- [reactlog](https://github.com/rstudio/reactlog) - Visual insight into a Shiny apps reactive graph.
- [supreme](https://github.com/strboul/supreme) - Structure Shiny applications developed with modules.
- [shinymanager](https://github.com/datastorm-open/shinymanager/) - Simple and secure authentication for single 'Shiny' applications using a SQLite database.
- [polished](https://github.com/Tychobra/polished) - Authentication, user administration, and web hosting for secure Shiny apps & Rmarkdown documents (flexdashboards, HTML, & PDF).
- [systemPipeShiny](https://github.com/systemPipeR/systemPipeShiny) - Design/run biological or general data analysis workflows, and visualize downstream results.
- [golem](https://github.com/ThinkR-open/golem/) - Framework for building production-grade shiny applications.
- [shinyTime](https://github.com/burgerga/shinyTime) - A timeInput widget for Shiny
- [shinyalert](https://github.com/daattali/shinyalert) - Easily create pretty popup messages (modals) in Shiny
- [shinydisconnect](https://github.com/daattali/shinydisconnect) - Show a nice message when a Shiny app disconnects or errors
- [shinyscreenshot](https://github.com/daattali/shinyscreenshot) - Capture screenshots of entire pages or parts of pages in Shiny apps
- [reactor](https://github.com/yonicd/reactor) - Unit testing for shiny reactivity
### Integrations
- [HTML Widgets/JavaScript](http://www.htmlwidgets.org/)
- [Crosstalk](https://rstudio.github.io/crosstalk/shiny.html) - Extends htmlwidgets with functionality for implementing cross-widget interactions.
- [DT](https://github.com/rstudio/DT) - Provides a function `datatable()` to display R data via the DataTables JavaScript library.
- [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.
- [leaflet.minicharts](https://github.com/rte-antares-rpackage/leaflet.minicharts) - Add and update small charts on an interactive leaflet maps.
- [d3heatmap](https://github.com/rstudio/d3heatmap) - Implements a D3 heatmap htmlwidget.
- [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.
- [DiagrammeR](https://github.com/rich-iannone/DiagrammeR) - Tool for creating diagrams and flowcharts using Graphviz and Mermaid.
- [MetricsGraphics](https://github.com/hrbrmstr/metricsgraphics) - Enables easy creation of D3 scatterplots, line charts, and histograms.
- [networkD3](https://github.com/christophergandrud/networkD3) - Graph data visualization with D3.
- [rthreejs](https://github.com/bwlewis/rthreejs) - 3D scatterplots and globes.
- [rbokeh](http://hafen.github.io/rbokeh/) - Interface to Bokeh that provides a flexible, powerful, declarative framework for creating interactive plots.
- [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.
- [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.
- [manipulateWidget](https://github.com/rte-antares-rpackage/manipulateWidget) - Add More Interactivity to htmlWidgets.
- [gglabeller](https://github.com/AliciaSchep/gglabeller) - Gadget that enables selecting points on a ggplot to label.
- [billboarder](https://github.com/dreamRs/billboarder) - Htmlwidget for billboard.js.
- [highcharter](http://jkunst.com/highcharter/index.html) - Flexible JavaScript charting libraries in shiny.
- [rhandsontable](https://github.com/jrowen/rhandsontable) - An htmlwidgets implementation of Handsontable.js.
- [flextable](https://github.com/davidgohel/flextable) - Easily create customizable tables
- [echarts4r](https://github.com/JohnCoene/echarts4r) - Create interactive charts by leveraging Echarts.js library.
- [rintrojs](https://github.com/carlganz/rintrojs) - Wrapper for the Intro.js library.
- [slickR](https://github.com/metrumresearchgroup/slickR) - Slick carousel htmlwidget for R.
- [rclipboard](https://github.com/sbihorel/rclipboard) - Clipboard.js for R/Shiny Applications.
- [scatterD3](https://github.com/juba/scatterD3) - Scatter plot htmlwidget based on D3.js.
- [trelliscopejs](https://github.com/hafen/trelliscopejs/) - TrelliscopeJS R package.
- [visNetwork](https://github.com/datastorm-open/visNetwork) - Network visualization for R using vis.js library.
- [sigmajs](https://github.com/JohnCoene/sigmajs) - Fully-fledged wrapper for the sigma.js JavaScript library.
- [excelR](https://github.com/Swechhya/excelR) - An interface to jExcel.js library.
- [flexdashboard](http://rmarkdown.rstudio.com/flexdashboard/index.html) - Easy interactive dashboards for R.
- [Shiny in Rmarkdown](http://rmarkdown.rstudio.com/authoring_shiny.html) - Run shiny apps in rmarkdown documents.
- [ggvis](https://github.com/rstudio/ggvis) - Make it easy to describe interactive web graphics in R.
- [RInno](https://github.com/ficonsulting/RInno) - Install local shiny apps by providing an interface between R and Inno Setup, (Windows Only).
- [googleVis](https://github.com/mages/googleVis) - An interface between R and the [Google's charts tools](https://developers.google.com/chart/).
- [pool](https://github.com/rstudio/pool) - Abstract away the logic of connection management and the performance cost of fetching a new connection from a remote database.
## People
- [Dean Attali](https://github.com/daattali)
- [Joe Cheng](https://github.com/jcheng5)
- [Winston Chang](https://github.com/wch)
- [Barbara Borges Ribeiro](https://github.com/bborgesr)
- [Ramnath Vaidyanathan](https://github.com/ramnathv)
- [Jeff Allen](https://github.com/trestletech)
- [Vincent Nijs](https://github.com/vnijs)
- [Sebastian Kranz](https://github.com/skranz)
- [David Granjon](https://divadnojnarg.github.io)
## Books
- [Web Application and Development Using Shiny (2nd edition) - by Chris Beely](https://www.amazon.com/Web-Application-Development-using-Shiny/dp/1782174346)
- [Learing Shiny - by Hernán G. Resnizky](https://www.amazon.com/Learning-Shiny-Hernan-G-Resnizky/dp/1785280902)
- [(WIP) Mastering Shiny - by Hadley Wickham](https://mastering-shiny.org/)
- [Engineering Production-grade Shiny Apps - by Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard](https://www.amazon.fr/Engineering-Production-grade-Shiny-Apps-Colin/dp/0367466023/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=&sr=)
## Galleries
- R-Studio
- [Shiny User Showcase](https://www.rstudio.com/products/shiny/shiny-user-showcase/) - Featured user Shiny apps.
- [Shiny Gallery](https://shiny.rstudio.com/gallery/) - Shiny apps and much more.
- [Showmeshiny](http://www.showmeshiny.com/) - Huge gallery of Shiny apps.
- [Shiny Widgets](http://shinyapps.org/) - Experience statistics with apps designed for teaching and analysis.
- Html Widgets
- [Html Widgets Showcase](http://www.htmlwidgets.org/showcase_leaflet.html) - Featured Html widgets.
- [Html Widgets Gallery](http://gallery.htmlwidgets.org/) - User submitted Html widgets.
- [R Graph Catalog](http://shinyapps.stat.ubc.ca/r-graph-catalog/) - Complement to the book “Creating More Effective Graphs” by Naomi Robbins.
- [Awesome Shiny Apps for Statistics](https://github.com/huyingjie/Awesome-shiny-apps-for-statistics) - A curated list of awesome Shiny Apps for statistics.
## App Examples
- [R-Studio Examples](https://github.com/rstudio/shiny-examples)
- [Waze](https://www.rstudio.com/resources/customer-spotlight/waze_story/) - Community based real-time traffic and navigation info.
- [Astra Zeneca](https://www.rstudio.com/resources/customer-spotlight/astra_zeneca/) - Data science tools used to create medicines more efficiently.
- [shiny-salesman](https://github.com/toddwschneider/shiny-salesman) - Traveling salesman app.
- [Shiny GEM](https://github.com/dm3ll3n/Shiny-GEM) - GEM stands for ‘general exploratory methods’, as this app aims to simplify a variety of basic EDA tasks.
- [shinyEd](https://github.com/ShinyEd/ShinyEd) - Statistics education apps.
- [STARTapp](https://github.com/jminnier/STARTapp) - Transcriptome Analysis Resource Tool.
- [shiny-phyloseq](https://github.com/joey711/shiny-phyloseq) - Provides a graphical user interface to the microbiome analysis package for R, called phyloseq.
- [shiny-ampvis2](https://kasperskytte.shinyapps.io/shinyampvis) - Provides some basic functionality for using ampvis2 to visualize microbiome data.
- [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.
- [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.
- [GenMap-Comparator](https://github.com/holtzy/GenMap-Comparator) - Compare genetic maps with D3 & Shiny.
- [MAVIS](https://github.com/kylehamilton/MAVIS) - MAVIS: Meta Analysis via Shiny.
- [iTunes Reviews Analysis](https://github.com/amrrs/itunesr_webapp) - iTunes App Store Reviews Text Extractor and Text Analysis Web App.
- [NYT Bar Optimizer](https://github.com/jordanmeyer/nyt-bar-optimizer) - Optimize your liquor cabinet using cocktail recipes from New York Times Cooking.
- [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.
- Australian Tax Office:
- [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).
- [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).
- [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/).
- [taskviewr](https://github.com/bearloga/taskviewr) - Browse R packages by CRAN Task Views and license info.
- [homebrewR](https://davesteps.shinyapps.io/homebrewR/) - Explore and compare beer recipes.
- [vinylSpotting](https://github.com/ewenme/vinylspotting) - Visualize and explore Discogs record collections.
- [polMonitor](https://ewenme.shinyapps.io/polMonitor/) - Monitor police violence in the United States.
- [OCRinShiny](https://github.com/longhowlam/OCRinShiny) - OCR an image with the tesseract package.
- [ExpressionDB](https://github.com/5c077/ExpressionDB) - Host gene expression/ontology data with Shiny.
- [Interactive PCA Explorer](https://github.com/benmarwick/Interactive_PCA_Explorer) - Explore a PCA plots and data.
- [contributr](https://github.com/LucyMcGowan/contributr) - Find beginner GitHub issues to contribute to.
- [VisualPruner](https://github.com/LaurenSamuels/VisualPruner) - Cohort selection in observational studies.
- [Opioid Overdose Shiny App](https://github.com/Dmunslow/Opioid-Overdose-Shiny-App) - Visualize opioid overdose data.
- [Shiny App Spotify](https://github.com/joelcponte/shiny-app-spotify) - Connect with spotify's API and generate personalized playlist recommendations through machine learning and data visualization.
- [National Parks Weather](https://github.com/sgaraycoa/National-Parks-Weather) - Visualize National Parks locations and weather using user input.
- [html2r](https://github.com/alandipert/html2r) - Convert HTML to R.
- [Anomaly Detection](https://murat-koptur.shinyapps.io/AnomalyDetectionShiny/) - Detect anomalies on univariate timeseries data using AnomalyDetection package.
- [R Shiny User Management & Authentication](https://github.com/yanirmor/shiny-user-management) - Demonstration of user management and authentication system in R Shiny.
## Contributors
[](https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/0)[](https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/1)[](https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/2)[](https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/3)[](https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/4)[](https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/5)[](https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/6)[](https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/7)
- [Rob Gilmore](https://github.com/grabear)
- [Shaurita Hutchins](https://github.com/sdhutchins)
- [Devin Pastoor](https://github.com/dpastoor)
- [Dean Attali](https://github.com/daattali)
- [Luke Singham](https://github.com/ucg8j)
- [Abdul Majed Raja](https://www.github.com/amrrs)
- [Leonardo Trimarchi](https://domthecodingcaveman.wordpress.com/)
- [Kshitiz Khanal](http://twitter.com/kshitizkhanal7)
- [Alyssa Columbus](https://alyssacolumbus.com)
- [Patrick Howard](https://polished.tech)
- [Le Zhang](https://github.com/lz100)