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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, polygo                                
ns, 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 ho                                
pefully 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.co                          
m/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/images/0) (https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/0)! 
(https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/images/1) (https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/1)! 
(https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/images/2) (https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/2)! 
(https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/images/3) (https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/3)! 
(https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/images/4) (https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/4)! 
(https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/images/5) (https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/5)! 
(https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/images/6) (https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/links/6)! 
(https://sourcerer.io/fame/grabear/grabear/awesome-rshiny/images/7) (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)