# rbokeh

> R Interface to Bokeh.

- Category: [R data visualization packages](https://awesomedataviz.com/categories/r/)
- Website: https://hafen.github.io/rbokeh/
- Repository: https://github.com/bokeh/rbokeh
- License: MIT
- Language: R
- Status: Archived (the repository is archived and read-only)
- GitHub stars: 311
- Commits in the last 12 months: 0
- Contributors: 7
- Last commit: Nov 1, 2023
- Install (CRAN): `install.packages("rbokeh")`, 13 downloads per week

## Overview

rbokeh is an open-source R visualization package released under the MIT license. Its GitHub repository has 311 stars, 63 forks, and 7 contributors. Its repository is archived on GitHub and no longer receives updates. On CRAN it is downloaded about 13 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/rbokeh/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).