# Shiny

> Framework for creating interactive applications/visualisations

- Category: [R data visualization packages](https://awesomedataviz.com/categories/r/)
- Website: https://shiny.rstudio.com
- Repository: https://github.com/rstudio/shiny
- License: MIT
- Language: R
- Status: Active (commits in the last 90 days)
- GitHub stars: 5,694
- Commits in the last 12 months: 63
- Contributors: 92
- Last commit: Oct 2, 2026
- Latest release: v1.14.0 (Jun 22, 2026)
- Install (CRAN): `install.packages("shiny")`, 192.4K downloads per week
- Install (npm): `npm install @posit/shiny`, 13 downloads per week
- Topics: Dashboards & BI

## 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.

## Alternatives

- [ggplot2](https://awesomedataviz.com/tools/ggplot2/): A plotting system based on the grammar of graphics. (7K stars)
- [plotly (R)](https://awesomedataviz.com/tools/plotly-r/): Interactive charts (including adding interactivity to ggplot2 output), cartograms and simple network diagrams (2.7K stars)
- [patchwork](https://awesomedataviz.com/tools/patchwork/): Composes multiple ggplot2 plots into a single figure. (2.6K stars)
- [ggstatsplot](https://awesomedataviz.com/tools/ggstatsplot/): Ggplot2-based plots with statistical test details included in the graphic. (2.2K stars)
- [rayshader](https://awesomedataviz.com/tools/rayshader/): 2D and 3D mapping and data visualization in R, including 3D renders of ggplot2 plots. (2.2K stars)
- [gt](https://awesomedataviz.com/tools/gt/): Builds publication-quality display tables in R. (2.2K stars)

## Comparisons

- [ggplot2 vs Shiny](https://awesomedataviz.com/compare/ggplot2-vs-shiny/)
- [plotly (R) vs Shiny](https://awesomedataviz.com/compare/plotly-r-vs-shiny/)
- [patchwork vs Shiny](https://awesomedataviz.com/compare/patchwork-vs-shiny/)
- [ggstatsplot vs Shiny](https://awesomedataviz.com/compare/ggstatsplot-vs-shiny/)
- [Shiny vs Streamlit](https://awesomedataviz.com/compare/shiny-vs-streamlit/)

Source: https://awesomedataviz.com/tools/shiny/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).