Development/Summer of Code/2024: Difference between revisions
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We're interested in projects that help us reach our roadmap, and that add major functionalities to the website. |
We're interested in projects that help us reach our roadmap, and that add major functionalities to the website. |
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Please see our [[Development/Summer of Code/ |
Please see our [[Development/Summer of Code/2024/BookBrainz|ideas page]] for more details and information on getting started. |
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|'''Top 3 Desired Skills''': Node.js, React, SQL |
|'''Top 3 Desired Skills''': Node.js, React, SQL |
Revision as of 17:08, 18 January 2024
Are you interested in working with MetaBrainz in Google Summer of Code 2024? You're in the right place!
Where to start[edit | edit source]
- 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.
- New to MetaBrainz development and/or GSoC?
- Getting started with GSoC
Projects
BookBrainz
BookBrainz is a database of book metadata.
We're interested in projects that help us reach our roadmap, and that add major functionalities to the website. Please see our ideas page for more details and information on getting started. | |
Top 3 Desired Skills: Node.js, React, SQL | |
Ideas page | Main page | Forums |
ListenBrainz
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. | |
Languages/skills: Python, Flask, Postgres, Spark, React, Android | |
Ideas page | Main page | Forums |
MusicBrainz
A community-maintained open source music encyclopedia that collects music metadata and makes it available to the public. | |
Languages/skills: JavaScript (React), PostgreSQL, Rust | |
Ideas page | Main page | Forums |
MusicBrainz Picard
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. | |
Languages/skills: Python, PyQt | |
Ideas page | Main page | Forums |