BlakeRMills/MetBrewer
Color palette package in R inspired by works at the Metropolitan Museum of Art in New York observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1726
- days_rel: n/a
- days_push: 607
- n_releases_24m: 0
Adoption not part of the score
1268 stars · 89 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
MetBrewer is a color palette library for R (with a Python port) offering palettes inspired by artworks at the Metropolitan Museum of Art. It includes colorblind-friendly checking and works with plotting workflows like ggplot2.
Use cases
- find aesthetically pleasing color palettes for charts
- make ggplot2 plots with museum-inspired colors
- check if a palette is colorblind-friendly
- get continuous or discrete color scales in R
- use Met Museum palettes in Python matplotlib
When to choose
- you want curated, art-inspired palettes for data visualization
- you need colorblind-friendly palette options
- you work in R or Python and want a simple palette helper
When to avoid
- you need interactive or dynamic color theming tools
- you require palettes with strict perceptual uniformity like viridis
Facets
library · maturity active
data-visualization data-visualization data-science python color-palettes colorblind-friendly metropolitan-museum ggplot2 aesthetics r
1 source
- readme: https://github.com/BlakeRMills/MetBrewer · fetched 2026-08-28 · a9c0086ec58d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| BlakeRMills/MetBrewer | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="BlakeRMills/MetBrewer")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem