Beets is the media library management system for obsessive-compulsive
The purpose of beets is to get your music collection right once and
for all. It catalogs your collection, automatically improving its
metadata as it goes. It then provides a bouquet of tools for
manipulating and accessing your music.
Because beets is designed as a library, it can do almost anything you
can imagine for your music collection. Via plugins, beets becomes a
- Fetch or calculate all the metadata you could possibly need: album
art, ReplayGain levels, or acoustic fingerprints.
- Get metadata from MusicBrainz, Discogs, or Beatport. Or guess
metadata using songs' filenames or their acoustic fingerprints.
- Transcode audio to any format you like.
- Check your library for duplicate tracks and albums or for albums
that are missing tracks.
- Browse your music library graphically through a Web browser and play
it in any browser that supports HTML5 Audio.
- ...and lots more.
If beets doesn't do what you want yet, writing your own plugin is
shockingly simple if you know a little Python.
Flask, pyechonest, pyacoustid, pylast, python-requests, discogs-client.
Maintained by: Dimitris Zlatanidis
(the SlackBuild does not include the source)