# r2d3

> Renders custom D3.js visualizations from R, in RStudio, R Markdown and Shiny.

- Category: [R data visualization packages](https://awesomedataviz.com/categories/r/)
- Website: https://rstudio.github.io/r2d3
- Repository: https://github.com/rstudio/r2d3
- License: BSD_3_clause
- Language: R
- Status: Inactive (no commits in over a year)
- GitHub stars: 529
- Commits in the last 12 months: 0
- Contributors: 12
- Last commit: Nov 18, 2021
- Latest release: v0.2.3 (Dec 18, 2018)
- Install (CRAN): `install.packages("r2d3")`, 862 downloads per week

## Overview

r2d3 is an R visualization package. Its GitHub repository has 529 stars, 102 forks, and 12 contributors. It has not had a commit since Nov 18, 2021. The latest release, v0.2.3, was published on Dec 18, 2018. On CRAN it is downloaded about 862 times per week.

## Alternatives

- [ggplot2](https://awesomedataviz.com/tools/ggplot2/): A plotting system based on the grammar of graphics. (7K stars)
- [Shiny](https://awesomedataviz.com/tools/shiny/): Framework for creating interactive applications/visualisations (5.7K 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)

Source: https://awesomedataviz.com/tools/r2d3/ · Data updated 2026-10-16 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).