# kassambara/ggpubr

'ggplot2' Based Publication Ready Plots

Repository: https://github.com/kassambara/ggpubr
Canonical: https://ross.abutalabs.com/products/ggpubr
Homepage: https://rpkgs.datanovia.com/ggpubr/
Language: R
License Family: other
Last push: 2026-07-31T19:58:26+00:00

## Health v2 (maintenance only)
Score: 87/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 68, longevity 100
- inputs: {"age_days": 3697, "days_push": 33, "days_rel": 58, "gap_med": 129, "n_releases_24m": 4}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1268, forks 182 (observed 2026-08-28T04:04:11.535486+00:00)

## What it is
An R package providing easy-to-use wrapper functions around ggplot2 for creating publication-ready statistical plots. It simplifies plot creation and customization for researchers without advanced R skills, adding statistical annotations like p-value brackets and significance tests.

## Use cases
- create publication-ready boxplots and violin plots in R
- add p-value significance brackets to ggplot2 figures
- plot ROC curves with AUC and confidence intervals
- make volcano plots for differential expression results
- create forest plots for regression estimates and meta-analysis
- make raincloud plots with half-violin, box, and jittered points
- compare groups statistically with one-call figure builders

## When to choose
- you need journal-quality ggplot2 figures with minimal code
- you want automatic statistical comparisons and p-value annotations on plots
- you are an R user without deep ggplot2 customization expertise

## When to avoid
- you need full low-level control over every ggplot2 aesthetic
- you work outside R or need interactive/dashboards visualizations
- you need plotting libraries in Python or other languages

## Facets
- artifact type: library
- maturity: stable
- function: data-visualization, charts
- domain: data-visualization, data-science, developer-tools
- platform: cross-platform
- tags: r, ggplot2, publication-ready-plots, statistical-annotation, cran

## Member repositories
- kassambara/ggpubr (main) score 87

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:11.535486+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:03:38.592048+00:00, confidence not recorded.
  - readme: https://github.com/kassambara/ggpubr (fetched 2026-08-28T04:04:11.535486+00:00, sha bbf52b52acf9)
  - homepage: https://rpkgs.datanovia.com/ggpubr/ (fetched 2026-08-29T12:15:23.494021+00:00, sha 545844991693)
  - site_page: https://rpkgs.datanovia.com/ggpubr/news/index.html (fetched 2026-08-29T12:15:23.503282+00:00, sha 33325a1fd7d0)
  - site_page: https://rpkgs.datanovia.com/ggpubr/authors.html (fetched 2026-08-29T12:15:23.507136+00:00, sha cf7b8b2c8bf9)
- Data as of 2026-08-30T08:39:29.467469+00:00.