AwesomeDataviz

Shiny

Framework for creating interactive applications/visualisations

Website GitHubCRANnpm
GitHub stars
5.7K
CRAN downloads / week
192.4K
Commits, last 12 months
63
Contributors
92
Last commit
Latest release
v1.14.0Jun 22, 2026

Overview

Shiny is an open-source R visualization package released under the MIT license. Its GitHub repository has 5,694 stars, 1,891 forks, and 92 contributors. It is actively developed with 63 commits in the last 12 months. The latest release, v1.14.0, was published on Jun 22, 2026. On CRAN it is downloaded about 192.4K times per week.

Its GitHub description: Easy interactive web applications with R

GitHub topics: rrstudioshinyreactiveweb-appweb-development

Install

CRAN
install.packages("shiny")
v1.14.0
npm
npm install @posit/shiny
v1.11.1

Development activity

Commits per month to the default branch over the last 12 complete months.

051015 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
051015 Oct 2025 Jan 2026 Apr Jul
63 commits from Oct 2025 to Sep 2026.
Show data as a table
MonthCommits
Oct 20255
Nov 20254
Dec 202513
Jan 20263
Feb 20267
Mar 20260
Apr 20265
May 20269
Jun 20266
Jul 20266
Aug 20265
Sep 20260

Popularity among R data visualization packages

ggplot2 7K Shiny 5.7K plotly (R) 2.7K patchwork 2.6K ggstatsplot 2.2K rayshader 2.2K gt 2.2K
ggplot2 7K Shiny 5.7K plotly (R) 2.7K patchwork 2.6K ggstatsplot 2.2K rayshader 2.2K gt 2.2K
GitHub stars for Shiny and the most-starred alternatives.
Show data as a table
ToolStars
ggplot27,005
Shiny5,694
plotly (R)2,682
patchwork2,615
ggstatsplot2,207
rayshader2,182
gt2,161

Alternatives to Shiny

  • ggplot2

    A plotting system based on the grammar of graphics.

    7K starsRMITShiny vs ggplot2

  • plotly (R)

    Interactive charts (including adding interactivity to ggplot2 output), cartograms and simple network diagrams

    2.7K starsRMITShiny vs plotly (R)

  • patchwork

    Composes multiple ggplot2 plots into a single figure.

    2.6K starsRMITShiny vs patchwork

  • ggstatsplot

    Ggplot2-based plots with statistical test details included in the graphic.

    2.2K starsRMITShiny vs ggstatsplot

  • rayshader

    2D and 3D mapping and data visualization in R, including 3D renders of ggplot2 plots.

    2.2K starsRGPL-3.0

  • gt

    Builds publication-quality display tables in R.

    2.2K starsRMIT

More comparisons: ggplot2 vs Shiny · plotly (R) vs Shiny · patchwork vs Shiny · ggstatsplot vs Shiny · Shiny vs Streamlit

Shiny FAQ

Is Shiny open source?

Yes. Shiny is released under the MIT license, and its source code is on GitHub.

Is Shiny still maintained?

Yes. Shiny is actively developed, with 63 commits in the last 12 months and the latest commit 2 days ago.

How do I install Shiny?

From CRAN: install.packages("shiny"). From npm: npm install @posit/shiny.

What are the best alternatives to Shiny?

The most popular alternatives listed in R data visualization packages are ggplot2, plotly (R), and patchwork. See the full ranking.

What language is Shiny written in?

Shiny is primarily written in R, according to GitHub.

Data: GitHub API, CRAN, npm. Updated Oct 4, 2026.