Development/Season of Docs/2019

From MusicBrainz Wiki
< Development‎ | Season of Docs
Revision as of 19:28, 8 April 2019 by Reosarevok (talk | contribs) (Created page with "Are you interested in working with MetaBrainz in Google Season of Docs 2019? You're in the right place! ==Where to start== <dl> <dt>New to MetaBrainz?</dt> <dd>The meb:|Met...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

Are you interested in working with MetaBrainz in Google Season of Docs 2019? You're in the right place!

Where to start

New to MetaBrainz?
The MetaBrainz Foundation has been set up to build community maintained databases and make them available in the public domain or under Creative Commons licenses

Projects

AcousticBrainz

AcousticBrainz logo small notext.png AcousticBrainz crowdsources acoustic information for all music in the world and to make it available to the public. We already have low-level information for over 10 million tracks. What we need is a good way for users and developers to interact with all this data and help improve algorithms that are used to analyze it.
Ideas page | Main page | Blog | Forums

BookBrainz

BookBrainz logo small notext.png BookBrainz is a database of book metadata.
Ideas page | Main page | Forums

CritiqueBrainz

CritiqueBrainz logo small notext.png Fills the gap between music critics and raw data by providing a platform created for the sole purpose of Creative Commons licensed reviews.
Ideas page | Main page | Forums

ListenBrainz

ListenBrainz logo small notext.png An open source music website that allows users to import their listen history. One of the goals is for this data to be used for building open music recommendation systems.
Ideas page | Main page


MusicBrainz

MusicBrainz logo small notext.png A community-maintained open source music encyclopedia that collects music metadata and makes it available to the public.
Ideas page | Main page | Forums

MusicBrainz Picard

Picard logo small notext.png MusicBrainz Picard is a cross-platform (Linux/Mac OS X/Windows) application written in Python and is the official MusicBrainz tagger. It supports the majority of audio file formats, is capable of using audio fingerprints (AcoustIDs), performing CD lookups and disc ID submissions, and it has excellent Unicode support.
Ideas page | Main page | Forums