# karthik/wesanderson

A Wes Anderson color palette for R

Repository: https://github.com/karthik/wesanderson
Canonical: https://ross.abutalabs.com/products/wesanderson
Language: R
License: NOASSERTION
License Family: other
Topics: plot, wes-anderson-palettes, r, data-visualization, color-palette
Last push: 2024-06-13T20:44:06+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4551, "days_push": 811, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- 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 2151, forks 151 (observed 2026-08-28T04:06:19.350846+00:00)

## What it is
An R package providing color palettes inspired by Wes Anderson films for use in plots, with ggplot2 integration and discrete/continuous palette generation. It is available on CRAN and includes palettes from movies like Rushmore, The Life Aquatic, and Grand Budapest Hotel.

## Use cases
- style ggplot2 charts with Wes Anderson movie colors
- get a discrete color palette for categorical plots in R
- generate a continuous color gradient for heatmaps
- make my data visualizations more aesthetically distinctive
- find a fun color palette for R plots

## When to choose
- you use R or ggplot2 and want curated, aesthetically pleasing palettes
- you want a lightweight, CRAN-published palette package

## When to avoid
- you need palettes in Python, JavaScript, or other languages
- you need colorblind-safe or accessibility-optimized palettes

## Facets
- artifact type: library
- maturity: stable
- function: data-visualization
- domain: data-visualization, data-science
- platform: python
- tags: r-package, color-palette, ggplot2, wes-anderson, cran

## Member repositories
- karthik/wesanderson (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:19.350846+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 2026-08-30T02:50:56.347435+00:00, confidence not recorded.
  - readme: https://github.com/karthik/wesanderson (fetched 2026-08-28T04:06:19.350846+00:00, sha a7b97a7a3cf7)
- Data as of 2026-08-30T08:39:29.467469+00:00.