Key differences

  • patchwork has 1.2× as many GitHub stars as ggstatsplot (2.6K vs 2.2K).
  • ggstatsplot had more development activity over the last 12 months: 84 commits vs 0.
  • patchwork is downloaded 59× as often on CRAN (74.8K vs 1.3K per week).
  • Both are released under the MIT license.
  • patchwork has had no commits since Aug 25, 2025.

By the numbers

  • ggstatsplot
  • patchwork
GitHub stars
2.2K 2.6K
CRAN downloads / week
1.3K 74.8K
Commits, last 12 months
84 0
Contributors
11 17
Forks
200 171
Show data as a table
ggstatsplot vs patchwork by the numbers
Metricggstatsplotpatchwork
GitHub stars2,2072,615
CRAN downloads / week1,27374,782
Commits, last 12 months840
Contributors1117
Forks200171

Development activity

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

  • ggstatsplot
  • patchwork
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 patchwork: commits per month
Monthggstatsplotpatchwork
Oct 202510
Nov 202550
Dec 202560
Jan 202610
Feb 202620
Mar 202620
Apr 2026470
May 202610
Jun 202600
Jul 202620
Aug 2026140
Sep 202630

Side by side

Attributeggstatsplotpatchwork
DescriptionGgplot2-based plots with statistical test details included in the graphic.Composes multiple ggplot2 plots into a single figure.
CategoryR data visualization packagesR data visualization packages
LicenseMITMIT
LanguageRR
StatusActiveInactive
Latest releasev1.1.1 ()v1.3.2 ()
Last commit
Repository created
Open issues076
Install
install.packages("ggstatsplot")
install.packages("patchwork")

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

  • patchwork

    Composes multiple ggplot2 plots into a single figure.

    2.6K starsRMIT

More comparisons