# metmuseum/openaccess

The Metropolitan Museum of Art's Open Access Initiative

Repository: https://github.com/metmuseum/openaccess
Canonical: https://ross.abutalabs.com/products/openaccess
License: CC0-1.0
License Family: permissive
Last push: 2026-08-16T17:54:46+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 3645, "days_push": 17, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1419, forks 251 (observed 2026-08-28T04:04:40.361639+00:00)

## What it is
The Metropolitan Museum of Art's Open Access dataset containing metadata for over 470,000 artworks, released as UTF-8 CSV files under a CC0 license. It provides unrestricted commercial and noncommercial access to collection information, though images are not included.

## Use cases
- download museum collection metadata as csv
- build an art search app with open data
- analyze artwork metadata for research
- train machine learning models on art collection data
- find public domain artworks for a project
- explore the met collection dataset

## When to choose
- you need large-scale, freely licensed museum collection metadata
- you want CC0 data safe for commercial use
- you are doing data science or research on art history

## When to avoid
- you need artwork images - they are not included in the dataset
- you expect complete, fully documented records - parts are incomplete
- you want to contribute fixes - pull requests are not accepted

## Facets
- artifact type: dataset
- maturity: active
- function: csv, data-science, search-engine
- domain: data-science, education, analytics
- platform: cross-platform
- tags: open-access, museum, art, cc0, cultural-heritage, public-domain

## Member repositories
- metmuseum/openaccess (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.361639+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 2026-08-30T04:37:53.860400+00:00, confidence not recorded.
  - readme: https://github.com/metmuseum/openaccess (fetched 2026-08-28T04:04:40.361639+00:00, sha b8a0c7698f30)
- Data as of 2026-08-30T08:39:29.467469+00:00.