# erikgahner/awesome-ggplot2

A curated list of awesome ggplot2 tutorials, packages etc.

Repository: https://github.com/erikgahner/awesome-ggplot2
Canonical: https://ross.abutalabs.com/products/awesome-ggplot2
License Family: other
Topics: ggplot2, ggplot2-themes, data-visualization, geoms, scales
Last push: 2026-08-09T09:12:27+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 2406, "days_push": 24, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1764, forks 179 (observed 2026-08-28T04:05:32.958118+00:00)

## What it is
A curated awesome-list of ggplot2 resources, including tutorials, R extension packages, themes, geoms, and scales for the popular R data visualization library. It serves as a reference directory linking to official docs, community members, and specialized plotting packages.

## Use cases
- find ggplot2 tutorials for learning data visualization in R
- discover R packages that extend ggplot2 with new chart types
- look up ggplot2 themes to style my plots
- find packages for creating specialized plots like UpSet or alluvial charts
- browse a curated list of ggplot2 extensions and resources

## When to choose
- you work with R and ggplot2 and want a curated index of tutorials and extension packages
- you need to discover specialized plotting packages built on ggplot2

## When to avoid
- you need a software tool or library rather than a list of links
- you do data visualization outside of R or the ggplot2 ecosystem

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-visualization, charts
- domain: data-visualization, awesome-lists, data-science
- platform: cross-platform
- tags: awesome-list, ggplot2, r, curated-list, tutorials

## Member repositories
- erikgahner/awesome-ggplot2 (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:32.958118+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 2026-08-30T03:26:38.306505+00:00, confidence not recorded.
  - readme: https://github.com/erikgahner/awesome-ggplot2 (fetched 2026-08-28T04:05:32.958118+00:00, sha 55e433484bd4)
- Data as of 2026-08-30T08:39:29.467469+00:00.