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Beets

Powerful CLI music library manager and MusicBrainz auto-tagger

Replaces
Spotify
15k Python MIT today

Overview

Beets is a command-line music library manager and MusicBrainz-based tagger for Python. It imports audio files, automatically matches them against the MusicBrainz database, corrects tags and filenames, and maintains a queryable SQLite library. A plugin system adds features including a lightweight web interface, ReplayGain analysis, lyrics fetching, and integration with Last.fm and Discogs. It is primarily a library organization tool rather than a streaming server.

Where it falls short of Spotify

  • CLI-first; the built-in web UI is minimal and not suitable as a primary music player.
  • Not a streaming server; must be paired with Navidrome, Koel, or similar for remote playback.
  • No mobile app or client ecosystem of its own.
  • Initial library import and tagging can be slow and require manual review for edge cases.

We list the gaps honestly so you can decide if the trade-off is worth owning your data.

Tags

music-library
tagger
musicbrainz
cli
audio
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