2021 has been a great year for the MusicBrainz Android App. The app has received updates regularly throughout the year!
Now that we are very close to 10,000+ users on the Playstore, it is evident that the app caters to the needs of a number of users, which is wonderful!
We have plans to introduce new features, involving those of ListenBrainz and CritiqueBrainz in the app. We are confident that the app serves its purpose of introducing everyone to the MetaBrainz world very soundly.
The app now features both a light and dark mode for the users!
During the end of the year, we have made some remarkable technical updates to the codebase by introducing Fastlane to the app. This eases the process for the developers and allows us to make a release with the click of a button. This means now we can have a production release every month, day, or hour.
Although going strong and steady, the MusicBrainz developers would love more contributors to join in and share their knowledge with us, while we dive deep into the world of music.
The ListenBrainz team has been wanting to provide a retrospective for its users for a few years now and this year we finally had enough resources to make it happen!
The Year in Music report includes a list of your top 50 releases for 2021, presented with cover art:
It also includes top lists, such as Your 50 most played songs of 2021 and Your top 50 artists of 2021 and spiffy map of your listening activity for 2021:
We also created 4 playlists for you to enjoy a retrospective of 2021. Three of these playlists aim to be playlists that feel comfortable for you, made up of tracks that you listened to this year. The Top Missed Recordings playlist, however, is a discovery playlist made from popular recordings that users similar to you listened to, but you didn’t. We make no guarantees that this playlist won’t give you at least little bit of iPod whiplash, which is why we’re presenting it as a discovery playlist that will require a bit more of your attention. However, don’t be discouraged—we’ve gotten a lot of positive feedback about this playlist!
And, this is not all yet—there are more things in the report for you to discover!
We invite you to head over to ListenBrainz to see if we were able to generate a Year in Music report for you. If not, please consider signing up for an account and sharing your listening history with us, so we can create a report for you next year! (You could also take a look at the reports generated for our team: akshaaatt, alastairp, amCap1712, mr_monkey, rob)
Happy listening and happy holidays from all of the MetaBrainz team!
The Picard team is happy to announce that the final version 2.7 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 many changes, including a completely new naming script editor, scripting improvements and AcousticBrainz submission. See below for the highlights.
This release fixes a few small regressions introduced in the last month or so, and includes a few small improvements (including, finally, some degree of autoselection for Apple Music links).
Two new releases of MusicBrainz Docker are also available. The first one mitigated the vulnerability CVE-2021-44228 for local search. The second one matches this update of MusicBrainz Server. See the release notes for update instructions.
Thanks to HibiscusKazeneko and yindesu for having reported bugs and suggested improvements. Thanks to mfmeulenbelt for updating the translations. Thanks to santiagofn for improving the installation documentation. And thanks to all others who tested the beta version!
A new separate release of MusicBrainz Docker is available that mitigates the vulnerability CVE-2021-44228 for local search. If your setup uses remote search, it isn’t affected. See the release notes for update instructions.
The Picard team is happy to announce the release of the third beta for the upcoming Picard 2.7. This is a pre-release we put out for wider testing and to gather feedback on the changes before the final 2.7 release. If you prefer stability we recommend you use the stable version Picard 2.6.4.
Thanks a lot to everybody who contributed to this release with code, translations, bug reports and general feedback. This release contains code contributions by Bob Swift, Philipp Wolfer and Laurent Monin.