Development/Summer of Code/2022

Are you interested in working with MetaBrainz in Google Summer of Code 2021? 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

New to MetaBrainz development and/or GSoC?

Getting started with GSoC

Ready to apply?

GSoC applications @ community.metabrainz.org

Be aware of the content of our Development/Summer of Code/Application Template

Mentors

Mentor list

Name	IRC nick	Project
Robert Kaye	ruaok	AcousticBrainz, ListenBrainz
Michael Wiencek	bitmap	MusicBrainz, Picard
Alastair Porter	alastairp	AcousticBrainz, ListenBrainz
Nicolas Pelletier	Mr_Monkey	BookBrainz
Laurent Monin	zas	Picard
Yvan Rivierre	yvanzo	MusicBrainz
Kartik Ohri	lucifer	ListenBrainz

Some potential mentors are listed by each project; this is far from a normative list, but it might give you somebody to ask about the project.

Note: Contacting the mentors privately (e.g., via e-mail or private IRC messages) will get you off to a very, very bad start in your relations with us and any application you send us is now almost definitely going to not get accepted.

About proposals

Before you dive in and send a proposal to us through Google, it's a good idea to take some time and learn about the MusicBrainz community. At MusicBrainz we pride ourselves for having a strong community - most of us know each other in some way, and some of us know each other face to face from development summits.

A good way to get a feel of this would be to talk about your ideas and proposals on IRC. However, starting off by sending private messages to potential mentors is not a good way to introduce yourself to the community. Please don't do that!

If you're not sure where to start, Development/Summer of Code/Getting started might help.

Join in on development

We like it when potential students show initiative and make contributions to code without asking us what to do next. We have tagged tickets that we think are suitable for for new contributors with the "good-first-bug" label. Take a look at these tickets and see if any of them grab your interest. If a ticket is not assigned to anyone you can assume that it's up for grabs - feel free to assign yourself and start working on it. We recommend that you also talk to us before starting work on a ticket, to make sure that you understand what tasks are involved to finish the ticket. We recommend that you explain to us your understanding of the ticket - we will help you if there is anything that you have missed. To talk to us, join our IRC channel or post a message in the forums or on a ticket.

Projects

AcousticBrainz

	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. It would suit someone with experience or an interest in machine learning algorithms, though the majority of the project will probably involve creating infrastructure around our existing algorithms.
	Languages/skills: Python, PostgreSQL, Flask
	Ideas page | Main page | Blog | Forums

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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

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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
	Ideas page | Main page

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MusicBrainz

	A community-maintained open source music encyclopedia that collects music metadata and makes it available to the public.
	Languages/skills: JavaScript (React), Perl, Python, PostgreSQL, Rust
	Ideas page | Main page | Forums

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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

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