Development/Summer of Code/2019

From MusicBrainz Wiki

Are you interested in working with MetaBrainz in Google Summer of Code 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
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, MusicBrainz
Michael Wiencek bitmap MusicBrainz, Picard
Alastair Porter alastairp AcousticBrainz, ListenBrainz
Nicolas Pelletier Mr_Monkey BookBrainz
Laurent Monin zas Picard
Sambhav Kothari samj1912 Picard, Solr Search
Yvan Rivierre yvanzo MusicBrainz

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 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.

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

BookBrainz

BookBrainz logo small notext.png 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.

The four suggested ideas to build proposals around are a web API, replacement of the search engine, a user collection feature and a unified creation form. 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

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.
Languages/skills: Python, Flask, SQL, PostgreSQL
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.
Languages/skills: Python, Flask, Postgres, BigQuery
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.
Languages/skills: JavaScript (React), Perl, Python, PostgreSQL, SQL
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.
Languages/skills: Python, PyQt
Ideas page | Main page | Forums