Key differences

  • plotly (R) has 1.2× as many GitHub stars as ggstatsplot (2.7K vs 2.2K).
  • ggstatsplot had more development activity over the last 12 months: 84 commits vs 19.
  • plotly (R) is downloaded 47× as often on CRAN (59.9K vs 1.3K per week).
  • Both are released under the MIT license.
  • plotly (R) is the older project: its repository was created in 2013, ggstatsplot's in 2018.

By the numbers

  • ggstatsplot
  • plotly (R)
GitHub stars
2.2K 2.7K
CRAN downloads / week
1.3K 59.9K
Commits, last 12 months
84 19
Contributors
11 57
Forks
200 640
Show data as a table
ggstatsplot vs plotly (R) by the numbers
Metricggstatsplotplotly (R)
GitHub stars2,2072,682
CRAN downloads / week1,27359,895
Commits, last 12 months8419
Contributors1157
Forks200640

Development activity

Commits per month to each default branch, last 12 complete months.

  • ggstatsplot
  • plotly (R)
0204060 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
0204060 Oct 2025 Jan 2026 Apr Jul
Show data as a table
ggstatsplot vs plotly (R): commits per month
Monthggstatsplotplotly (R)
Oct 202510
Nov 202550
Dec 202560
Jan 2026113
Feb 202620
Mar 202620
Apr 2026473
May 202610
Jun 202601
Jul 202622
Aug 2026140
Sep 202630

Side by side

Attributeggstatsplotplotly (R)
DescriptionGgplot2-based plots with statistical test details included in the graphic.Interactive charts (including adding interactivity to ggplot2 output), cartograms and simple network diagrams
CategoryR data visualization packagesR data visualization packages
LicenseMITMIT
LanguageRR
StatusActiveActive
Latest releasev1.1.1 ()v4.12.1 ()
Last commit
Repository created
Open issues0715
Install
install.packages("ggstatsplot")
install.packages("plotly")

Which should you choose?

Popularity and activity are only part of the story. Consider which ecosystem you work in, the chart types and interactions you need, how much data you render, and whether the license fits your project. Both tool pages list alternatives if neither is quite right.

  • ggstatsplot

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

    2.2K starsRMIT

  • plotly (R)

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

    2.7K starsRMIT

More comparisons