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An awesome R-shiny list!

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README 

        


	Awesome






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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, 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/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)