• Stars
    star
    5,209
  • Rank 7,557 (Top 0.2 %)
  • Language
    R
  • License
    Other
  • Created almost 12 years ago
  • Updated about 1 month ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Easy interactive web applications with R

shiny

CRAN R build status RStudio community

Easily build rich and productive interactive web apps in R — no HTML/CSS/JavaScript required.

Features

  • An intuitive and extensible reactive programming model which makes it easy to transform existing R code into a "live app" where outputs automatically react to new user input.
    • Compared to event-based programming, reactivity allows Shiny to do the minimum amount of work when input(s) change, and allows humans to more easily reason about complex MVC logic.
  • A prebuilt set of highly sophisticated, customizable, and easy-to-use widgets (e.g., plots, tables, sliders, dropdowns, date pickers, and more).
  • An attractive default look based on Bootstrap which can also be easily customized with the bslib package or avoided entirely with more direct R bindings to HTML/CSS/JavaScript.
  • Seamless integration with R Markdown, making it easy to embed numerous applications natively within a larger dynamic document.
  • Tools for improving and monitoring performance, including native support for async programming, caching, load testing, and more.
  • Modules: a framework for reducing code duplication and complexity.
  • An ability to bookmark application state and/or generate code to reproduce output(s).
  • A rich ecosystem of extension packages for more custom widgets, input validation, unit testing, and more.

Installation

To install the stable version from CRAN:

install.packages("shiny")

Getting Started

Once installed, load the library and run an example:

library(shiny)
# Launches an app, with the app's source code included
runExample("06_tabsets")
# Lists more prepackaged examples
runExample()

For more examples and inspiration, check out the Shiny User Gallery.

For help with learning fundamental Shiny programming concepts, check out the Mastering Shiny book and the Shiny Tutorial. The former is currently more up-to-date with modern Shiny features, whereas the latter takes a deeper, more visual, dive into fundamental concepts.

Join the conversation

If you want to chat about Shiny, meet other developers, or help us decide what to work on next, join us on Discord.

Getting Help

To ask a question about Shiny, please use the RStudio Community website.

For bug reports, please use the issue tracker and also keep in mind that by writing a good bug report, you're more likely to get help with your problem.

Contributing

We welcome contributions to the shiny package. Please see our CONTRIBUTING.md file for detailed guidelines of how to contribute.

License

The shiny package as a whole is licensed under the GPLv3. See the LICENSE file for more details.

R version support

Shiny is supported on the latest release version of R, as well as the previous four minor release versions of R. For example, if the latest release R version is 4.1, then that version is supported, as well as 4.0, 3.6, 3.5, and 3.4.

More Repositories

1

cheatsheets

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
TeX
5,540
star
2

rstudio

RStudio is an integrated development environment (IDE) for R
Java
4,432
star
3

bookdown

Authoring Books and Technical Documents with R Markdown
JavaScript
3,613
star
4

rmarkdown

Dynamic Documents for R
R
2,737
star
5

shiny-examples

JavaScript
1,927
star
6

gt

Easily generate information-rich, publication-quality tables from R
R
1,892
star
7

blogdown

Create Blogs and Websites with R Markdown
R
1,694
star
8

reticulate

R Interface to Python
R
1,604
star
9

webinars

Code and slides for RStudio webinars
HTML
1,510
star
10

rticles

LaTeX Journal Article Templates for R Markdown
TeX
1,402
star
11

plumber

Turn your R code into a web API.
R
1,355
star
12

tensorflow

TensorFlow for R
R
1,313
star
13

renv

renv: Project environments for R.
R
953
star
14

pagedown

Paginate the HTML Output of R Markdown with CSS for Print
R
861
star
15

shinydashboard

Shiny Dashboarding framework
CSS
852
star
16

pointblank

Data quality assessment and metadata reporting for data frames and database tables
R
824
star
17

keras

R Interface to Keras
R
818
star
18

flexdashboard

Easy interactive dashboards for R
JavaScript
788
star
19

leaflet

R Interface to Leaflet Maps
JavaScript
784
star
20

rmarkdown-book

R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)
RMarkdown
738
star
21

ggvis

Interactive grammar of graphics for R
R
709
star
22

shiny-server

Host Shiny applications over the web.
JavaScript
700
star
23

rstudio-conf

Materials for rstudio::conf
HTML
696
star
24

learnr

Interactive Tutorials with R Markdown
R
695
star
25

RStartHere

A guide to some of the most useful R Packages that we know about
R
656
star
26

py-shiny

Shiny for Python
Python
627
star
27

DT

R Interface to the jQuery Plug-in DataTables
JavaScript
581
star
28

rmarkdown-cookbook

R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.
RMarkdown
562
star
29

blastula

Easily send great-looking HTML email messages from R
R
522
star
30

r2d3

R Interface to D3 Visualizations
R
513
star
31

bookdown-demo

A minimal book example using bookdown
CSS
476
star
32

hex-stickers

RStudio hex stickers
R
434
star
33

distill

Distill for R Markdown
HTML
416
star
34

bslib

Tools for theming Shiny and R Markdown via Bootstrap 3, 4, or 5.
SCSS
414
star
35

packrat

Packrat is a dependency management system for R
R
394
star
36

tufte

Tufte Styles for R Markdown Documents
R
385
star
37

dygraphs

R interface to dygraphs
JavaScript
361
star
38

revealjs

R Markdown Format for reveal.js Presentations
JavaScript
316
star
39

pins-r

Pin, Discover and Share Resources
R
299
star
40

fontawesome

Easily insert FontAwesome icons into R Markdown docs and Shiny apps
R
287
star
41

profvis

Visualize R profiling data
JavaScript
285
star
42

crosstalk

Inter-htmlwidget communication for R (with and without Shiny)
JavaScript
284
star
43

config

config package for R
R
247
star
44

pool

Object Pooling in R
R
242
star
45

thematic

Theme ggplot2, lattice, and base graphics based on a few simple settings.
R
237
star
46

Intro

Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media
R
234
star
47

tinytex-releases

Windows/macOS/Linux binaries and installation methods of TinyTeX
PowerShell
226
star
48

shinytest

Automated testing for shiny apps
JavaScript
222
star
49

httpuv

HTTP and WebSocket server package for R
C
217
star
50

nomnoml

Sassy 'UML' Diagrams for R
JavaScript
216
star
51

shinymeta

Record and expose Shiny app logic using metaprogramming
R
212
star
52

htmltools

Tools for HTML generation and output
R
201
star
53

shinyuieditor

A GUI for laying out a Shiny application that generates clean and human-readable UI code
JavaScript
200
star
54

promises

A promise library for R
R
193
star
55

vetiver-r

Version, share, deploy, and monitor models
R
174
star
56

rstudioapi

Safely access RStudio's API (when available)
R
161
star
57

gradethis

Tools for teachers to use with learnr
R
159
star
58

concept-maps

Concept maps for all things data science
HTML
158
star
59

master-the-tidyverse

Course contents for Master the Tidyverse
156
star
60

shinythemes

Themes for Shiny
R
152
star
61

ShinyDeveloperConference

Materials collected from the First Shiny Developer Conference Palo Alto, CA January 30-31 2016
HTML
152
star
62

chromote

Chrome Remote Interface for R
R
145
star
63

shiny-gallery

Code and other documentation for apps in the Shiny Gallery ✨
HTML
140
star
64

sortable

R htmlwidget for Sortable.js
R
124
star
65

rsconnect

Publish Shiny Applications, RMarkdown Documents, Jupyter Notebooks, Plumber APIs, and more
R
120
star
66

reactlog

Shiny Reactivity Visualizer
JavaScript
119
star
67

redx

dynamic nginx configuration
Lua
118
star
68

bigdataclass

Two-day workshop that covers how to use R to interact databases and Spark
R
114
star
69

r-system-requirements

System requirements for R packages
Shell
111
star
70

shinyapps

Deploy Shiny applications to ShinyApps
110
star
71

webshot2

Take screenshots of web pages from R
R
109
star
72

shinyloadtest

Tools for load testing Shiny applications
HTML
108
star
73

shinyvalidate

Input validation package for the Shiny web framework
JavaScript
108
star
74

r-docker

Docker images for R
Dockerfile
105
star
75

miniUI

R
102
star
76

sass

Sass compiler package for R
C++
102
star
77

shinytest2

R
98
star
78

keras-customer-churn

Customer Churn Shiny Application
R
98
star
79

r-builds

an opinionated environment for compiling R
Shell
91
star
80

r-manuals

A re-styled version of the R manuals
R
85
star
81

addinexamples

An R package showcasing how RStudio addins can be registered and used.
R
85
star
82

shinyapps-package-dependencies

Collection of bash scripts that install R package system dependencies
R
74
star
83

markdown

The first generation of Markdown rendering for R (born in 2012). Originally based on the C library sundown. Now based on commonmark. Note that this package is markdown, not *rmarkdown*.
R
72
star
84

R-Websockets

HTML 5 Websockets implementation for R
R
68
star
85

webdriver

WebDriver client in R
R
68
star
86

beyond-dashboard-fatigue

Materials for the RStudio webinar 'Beyond Dashboard Fatigue'
R
66
star
87

cloudml

R interface to Google Cloud Machine Learning Engine
R
65
star
88

shinylive

Run Shiny on Python (compiled to wasm) in the browser
TypeScript
61
star
89

rstudio-conf-2022-program

rstudio::conf(2022, "program")
R
61
star
90

rstudio-docker-products

Docker images for RStudio Professional Products
Just
59
star
91

bookdown.org

Source documents to generate the bookdown.org website
R
59
star
92

education.rstudio.com

CSS
57
star
93

tfestimators

R interface to TensorFlow Estimators
R
57
star
94

vetiver-python

Version, share, deploy, and monitor models.
Python
55
star
95

tfprobability

R interface to TensorFlow Probability
R
54
star
96

sparkDemos

HTML
53
star
97

shiny-incubator

Examples and ideas that don't belong in the core Shiny package and aren't officially supported.
JavaScript
53
star
98

connections

https://rstudio.github.io/connections/
R
52
star
99

swagger

Swagger is a collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
HTML
51
star
100

leaflet.mapboxgl

Extends the R Leaflet package with a Mapbox GL JS plugin to allow easy drawing of vector tile layers.
R
49
star