AwesomeDataviz

rbokeh

R Interface to Bokeh.

Website GitHubCRAN
GitHub stars
311
CRAN downloads / week
13
Commits, last 12 months
0
Contributors
7
Last commit

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.

Its GitHub description: R interface to Bokeh http://hafen.github.io/rbokeh/

Install

CRAN
install.packages("rbokeh")
v0.5.2

Development activity

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

01 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
01 Oct 2025 Jan 2026 Apr Jul
0 commits from Oct 2025 to Sep 2026.
Show data as a table
MonthCommits
Oct 20250
Nov 20250
Dec 20250
Jan 20260
Feb 20260
Mar 20260
Apr 20260
May 20260
Jun 20260
Jul 20260
Aug 20260
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 rbokeh 311
ggplot2 7K Shiny 5.7K plotly (R) 2.7K patchwork 2.6K ggstatsplot 2.2K rayshader 2.2K rbokeh 311
GitHub stars for rbokeh 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
rbokeh311

Alternatives to rbokeh

  • ggplot2

    A plotting system based on the grammar of graphics.

    7K starsRMIT

  • Shiny

    Framework for creating interactive applications/visualisations

    5.7K starsRMIT

  • plotly (R)

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

    2.7K starsRMIT

  • patchwork

    Composes multiple ggplot2 plots into a single figure.

    2.6K starsRMIT

  • ggstatsplot

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

    2.2K starsRMIT

  • rayshader

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

    2.2K starsRGPL-3.0

rbokeh FAQ

Is rbokeh open source?

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

Is rbokeh still maintained?

No. The repository is archived, which means it is read-only and no longer updated.

How do I install rbokeh?

From CRAN: install.packages("rbokeh").

What are the best alternatives to rbokeh?

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

What language is rbokeh written in?

rbokeh is primarily written in R, according to GitHub.

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