# MuseumofModernArt/collection

The Museum of Modern Art (MoMA) collection data

Repository: https://github.com/MuseumofModernArt/collection
Canonical: https://ross.abutalabs.com/products/collection
License: CC0-1.0
License Family: permissive
Last push: 2026-08-25T08:45:39+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 4073, "days_push": 8, "days_rel": 8, "gap_med": 7, "n_releases_24m": 104}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1537, forks 269 (observed 2026-08-28T04:05:00.076556+00:00)

## What it is
The Museum of Modern Art's open collection dataset, containing metadata for over 160,000 accessioned artworks and nearly 16,000 artists in CSV and JSON formats. It is released under a CC0 public domain license and updated regularly, though it includes no images.

## Use cases
- analyze MoMA's art collection metadata
- build a visualization of artists in the MoMA collection
- research trends in mediums and acquisition dates
- train models on museum catalog records
- explore artist nationality and gender demographics
- create an art collection search or browsing app

## When to choose
- you need public-domain museum metadata for research or data projects
- you want structured CSV/JSON records of artworks and artists
- you are building data visualizations or teaching data analysis with real-world cultural data

## When to avoid
- you need images of the artworks, which are not included
- you require complete, curator-approved records for every work
- you expect to contribute data back via pull requests, which are not accepted

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, csv
- domain: data-science, education, analytics
- platform: cross-platform
- tags: museum, art, open-data, moma, metadata, public-domain

## Member repositories
- MuseumofModernArt/collection (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:00.076556+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 2026-08-30T04:30:59.886220+00:00, confidence not recorded.
  - readme: https://github.com/MuseumofModernArt/collection (fetched 2026-08-28T04:05:00.076556+00:00, sha 8bcce63cbf96)
- Data as of 2026-08-30T08:39:29.467469+00:00.