kassambara/ggpubr

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1268 stars · 182 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

library · maturity stable

data-visualization charts data-visualization data-science developer-tools cross-platform r ggplot2 publication-ready-plots statistical-annotation cran

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kassambara/ggpubr")