MetaBrainz Foundation Community Blog
We have released the ListenBrainz app for Android! Track your music listening habits and connect with other music lovers around the world, with this exciting new app.
Get the app on the Google PlayStore.
Continue reading “ListenBrainz App is now available on the PlayStore!”I’m very pleased to announce that the MetaBrainz Foundation has been accepted into Google’s Summer of Code program for 2023. This amazing project has been incredibly influential for us and our teams, so we’re pleased to be part of it for another round.
Anyone wishing to participate in the program should carefully read the terms for contributors and if you are eligible, go ahead and take a look at our Summer of Code landing page where you can find our project ideas that we listed for this year. Our landing page will tell you what we require of our participants and how to pick up a project.
Good luck to all who are interested in participating!
We’ll be performing maintenance on our primary database starting at 15:00 UTC on February 2. It’ll take about 20 minutes to transfer services from our primary database server to our standby, after which normal service will resume. Thanks for your patience during this time.
A spam technique has been discovered that consisted in creating an account with a malicious URL in the username and the email of the intended victim, so that the victim would receive a verification email with the malicious URL inside it. It was most often combined with control characters to make the malicious URL even more visible.
Thanks to Devin McGovern from the Cyber Security Operations Department at Hyatt who responsibly disclosed this issue to the team.
To deal with the issue:
It doesn’t affect mirrors so there is no update for MusicBrainz Docker.
The git tag is v-2023-01-10-hotfixes.
Continue reading “MusicBrainz Server hotfix, 2023-01-10”ListenBrainz is excited to announce the release of your #YEARINMUSIC reports for 2022! Log in to your ListenBrainz (LB) and click here to see your report. Don’t have a LB account? See what you’re missing.
Revisit and share your top artists, albums, tracks and neighbours from last year. Topped off with oodles of interesting statistics, a browsable cover collage, and brand new playlists of songs that you may have missed that our currently-benign algorithm thinks you will love.
You made it through, and you listened to some great tunes along the way.
Continue reading “Explore Your Year in Music 2022”Today we have released an alpha version for the upcoming Picard 2.9. The main change coming with this release is limiting Picard to a single instance by default and the ability to run commands inside this running Picard instance from the command line. This work was done by skelly37 as part of last year’s Google Summer of Code.
Keep in mind that we consider this an alpha release and it might contain bugs. As the single-instance mode by default is a significant change on how Picard is being run we want to gather some feedback on the new functionality before we do a final 2.9 release.
Continue reading “Picard 2.9 alpha 1 available for testing”This article is showcasing some of the more unusual ways MusicBrainz Picard can be run. Some are useful, some are more technically interesting solutions.
The description in MusicBrainz Picard’s README file says:
MusicBrainz Picard is a cross-platform (Linux, macOS, Windows) audio tagging application.
So yes, Linux, macOS and Windows are our officially supported platforms and the main targets for running Picard. If you are using Picard you likely do this on a laptop or desktop computer running one of these three operating systems. We already offer plenty of options to install and run Picard, including our official downloads for Windows and macOS, Picard in the Microsoft Store for Windows 10 and 11 and the popular Linux packages Flatpak and Snap.
But as Picard is free software you can get it running essentially anywhere were Python and PyQt5 are available. Let’s start this year with showcasing some of the more unusual ways Picard can be run. Some are useful, some are more technically interesting solutions.
Continue reading “Unexpected Picard Setups”The ListenBrainz Year In Music Report is approaching, and in order to make the most out of it, we recommend that users who utilize various import methods complete their listen imports by January 2nd.
To provide the most accurate Year In Music reports it is important that we identify the recordings to which you’ve listened. If we can’t identify your listens correctly, your Year in Music reports will also be incorrect. We aim to automatically identify all the listens that come in, but this challenging task isn’t always carried out with 100% success.
In order to give users more control over the linking of their listens, we have introduced a new feature allowing users to directly link their listens to a MusicBrainz recording from the ListenBrainz website. To correct an incorrectly linked listen, navigate to the listens page and select the Link with MusicBrainz option from the dropdown menu next to a listen.
Continue reading “Preparing for Year In Music Report”Picard 2.8.5 is a maintenance release for Picard 2.8, fixing two regressions found in the previous release.
The latest release is available for download on the Picard download page.
Thanks a lot to everyone who gave feedback and reported issues.
Please use the MetaBrainz community forums and the ticket system to give feedback, suggest new features or report bugs.
As you might know, here at MetaBrainz we’re rather picky when it comes to data. And we’re not exactly thrilled when Spotify’s Wrapped reports appear in December and then only contain data from the first 9 months of the year. Shouldn’t that be Spotify Three Quarters Wrapped?
We prefer properly baked solutions, and for that reason we’ve decided that we will wait until 4 January 2023 before we release our ListenBrainz Year in Music (YIM) reports. This way we can have one comprehensive report that includes all of your listens and all of the report data we derive from those listen.
If you are interested in getting your own version of our fetching Year In Music reports, we encourage you to sign-up and import your data before the year is done. Then in the first few days of January we will process this data into your complete report and publish it on 4 January.
In the meantime, have a look at last year’s YIM report. If we generated one for you in 2021, you can find that report from the Explore menu on listenbrainz.org!
This year’s report will be even better based on the feedback we’ve received from you!
We’re looking forward to getting these reports to you and we wish you happy holiday and a pleasant end of the year!
