# metabrainz/picard

Picard is a cross-platform music tagger powered by the MusicBrainz database

Repository: https://github.com/metabrainz/picard
Canonical: https://ross.abutalabs.com/products/picard
Homepage: https://picard.musicbrainz.org
Language: Python
License: GPL-2.0
License Family: copyleft
Topics: python, musicbrainz, tagger, audio, music-tagger, id3, acoustid, musicbrainz-picard, music, picard
Last push: 2026-08-26T06:19:11+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 40, longevity 100
- inputs: {"age_days": 5496, "days_push": 7, "days_rel": 562, "gap_med": 10, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5143, forks 460 (observed 2026-08-28T04:09:11.158136+00:00)

## What it is
MusicBrainz Picard is a cross-platform desktop application for tagging and organizing music files using the MusicBrainz database. It identifies tracks via AcoustID audio fingerprints, supports many audio formats, and offers scripting and plugin extensibility.

## Use cases
- tag mp3 files with correct metadata
- identify songs with no metadata using audio fingerprinting
- rename and organize music library into folder structure
- download album cover art automatically
- lookup and tag entire CDs

## When to choose
- you want accurate, community-maintained metadata from MusicBrainz
- your files lack tags and need fingerprint-based identification
- you need cross-platform GUI tagging with plugin support

## When to avoid
- you need fully automated headless batch tagging without a GUI
- you prefer a different metadata source than MusicBrainz

## Facets
- artifact type: application
- maturity: active
- function: audio-processing, gui, plugin-system
- domain: media, audio
- platform: windows, cross-platform, python
- tags: music-tagger, id3, acoustid, musicbrainz, metadata, cover-art, linux, macos

## Member repositories
- metabrainz/picard (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.158136+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 2026-08-29T18:01:59.308599+00:00, confidence not recorded.
  - readme: https://github.com/metabrainz/picard (fetched 2026-08-28T04:09:11.158136+00:00, sha 90e83a05d7e5)
  - homepage: https://picard.musicbrainz.org (fetched 2026-08-29T08:57:24.563138+00:00, sha 56d135bc079e)
  - site_page: https://picard.musicbrainz.org/changelog (fetched 2026-08-29T08:57:24.567779+00:00, sha cc8ebbf8b4a1)
- Data as of 2026-08-30T08:39:29.467469+00:00.