The ListenBrainz Music Neighbourhood feature is now live!
Use this arcane technology to find your favourite artist and explore their related artists. Watch the pretty colours. Listen to the music. Race your friends from Napalm Death to Britney Spears. Increase the web size and gasp as the artists jiggle into each other. Or simplify your life by exploring a web size of 0.
Don’t wait! No ListenBrainz account required, try it now: https://listenbrainz.org/explore/music-neighborhood/
The Picard team is happy to announce that the final version 2.11 of MusicBrainz Picard is now available for download. MusicBrainz Picard is the official tag editor for the MusicBrainz database and helps you get your music collection sorted and cleaned up with the latest data from MusicBrainz.
This release brings multiple improvements for the AcoustID fingerprint scan and general improvements to matching files to search results for some specific cases. This final release reverts a change from the recent release candidate which broke loading recording relationships only without release relationships.
Continue reading “Picard 2.11 released”The Picard team starts into the year 2024 with a release candidate of MusicBrainz Picard 2.11. MusicBrainz Picard is the official tag editor for the MusicBrainz database and helps you get your music collection sorted and cleaned up with the latest data from MusicBrainz.
This release brings multiple improvements for the AcoustID fingerprint scan and general improvements to matching files to search results for some specific cases. There are also some minor UI tweaks and general bug fixes.
Continue reading “Picard 2.11 Release Candidate”Happy New Year 2024! We hope that you enjoyed your Year in Music 2023. Here is a quite small but rapid release as we are returning to a normal rhythm of server updates.
A new release of MusicBrainz Docker is also available that matches this update of MusicBrainz Server. See the release notes for update instructions.
Thanks to derat for having contributed to the code. Thanks to chaban, jesus2099, and yindesu for having reported bugs and suggested improvements. Thanks to 0x1026, ApeKattQuest, ChurruKa, danBLOO, DyingSlacker, kellnerd, larsimore, Markus O, mfmeulenbelt, outsidecontext, salo.rock, Vac31, wileyfoxyx, xuanqidongjim, yyb987, and zemeles for updating the translations. And thanks to all others who tested the beta version!
The git tag is v-2024-01-08.
Continue reading “MusicBrainz Server update, 2024-01-08”ListenBrainz is back with your #yearinmusic (YIM) reports for 2023! Log in to ListenBrainz (LB) and click here to see your report, or here if you don’t have an account but want to see what we are banging on about.
See your year summed up in a flash new summary collage. Revisit and share your top artists, albums, and tracks from last year. Topped off with new statistics, the new browsable cover collage, links to friends, and playlists created just for you by our hopefully-still–benign machine algorithm.
This year we will also re-run the YIM pages in a few weeks – this means that if you have listens from 2023 stored in last.fm or libre.fm, it’s not too late! Use that LB importer to get your YIM soon.
MetaBrainz Blog 