Difference between revisions of "Development/Summer of Code/2017"

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<dl>
<dl>
<dt>New to MetaBrainz?</dt>
<dt>New to MetaBrainz?</dt>
<dd>The [[meb:|MetaBrainz Foundation]] has been set up to build [[meb:projects|community maintained databases]] and make them available in the public domain or under Creative Commons licenses</dd>
<dd>[[meb:projects|List of MetaBrainz projects]]</dd>
<dt>New to MetaBrainz development and/or GSoC?</dt>
<dt>New to MetaBrainz development and/or GSoC?</dt>
<dd>[[Development/Summer_of_Code/Getting_started|Getting started with GSoC]]</dd>
<dd>[[Development/Summer_of_Code/Getting_started|Getting started with GSoC]]</dd>
<dt>New to the idea of linked open data?</dt>
<dd>[[wikipedia:Linked_data|Linked open data article]] on wikipedia</dd>
<dt>Ready to apply?</dt>
<dt>Ready to apply?</dt>
<dd>[https://community.metabrainz.org/c/metabrainz/gsoc-applications GSoC applications @ community.metabrainz.org]</dd>
<dd>[https://community.metabrainz.org/c/metabrainz/gsoc-applications GSoC applications @ community.metabrainz.org]</dd>
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! Project
! Project
|-
|-
|[[discourse_user:rob|Robert Kaye]]
| [[discourse_user:rob|Robert Kaye]]
|ruaok
| ruaok
|AcousticBrainz, ListenBrainz, MusicBrainz
| AcousticBrainz, ListenBrainz, MusicBrainz
|-
|-
|[[discourse_user:bitmap|Michael Wiencek]]
| [[discourse_user:bitmap|Michael Wiencek]]
|bitmap
| bitmap
|MusicBrainz
| MusicBrainz, Picard
|-
|-
|[[discourse_user:alatairp|Alastair Porter]]
| [[discourse_user:alatairp|Alastair Porter]]
|alastairp
| alastairp
|AcousticBrainz, ListenBrainz
| AcousticBrainz, ListenBrainz
|-
|-
|[[discourse_user:lordsputkin|Ben Ockmore]]
| [[discourse_user:lordsputkin|Ben Ockmore]]
|LordSputnik
| LordSputnik
|BookBrainz
| BookBrainz
|-
|-
|[[discourse_user:leftmostcat|Sean Burke]]
| [[discourse_user:leftmostcat|Sean Burke]]
|Leftmost
| Leftmost
|BookBrainz
| BookBrainz
|-
|-
|[[discourse_user:gentlecat|Roman Tsukanov]]
| [[discourse_user:gentlecat|Roman Tsukanov]]
|Gentlecat
| Gentlecat
|CritiqueBrainz, AcousticBrainz, ListenBrainz
| CritiqueBrainz, AcousticBrainz, ListenBrainz
|-

| [[discourse_user:zas|Laurent Monin]]
| zas
| Picard
|}
|}


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If you're not sure where to start, [[Development/Summer of Code/Getting started]] might help.
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 [https://tickets.metabrainz.org/issues/?jql=labels%20%3D%20good-first-bug 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==
==Projects==
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{| style="width:60%"
{| style="width:60%"
|-
|-
|rowspan="3"|[[file:AcousticBrainz logo small notext.png ]]
| style="width:120px" rowspan="3" | [[File:AcousticBrainz logo small notext.png]]
|AcousticBrainz is our new project that crowdsources acoustic information for all music in the world and to make it available to the public. We already have low-level information about more than three 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.
| AcousticBrainz is our new project that crowdsources acoustic information for all music in the world and to make it available to the public. We already have low-level information about more than three 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.
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.
|-
|-
|style="background-color:ghostwhite" | '''Languages/skills''': Python, PostgreSQL, Flask
| style="background-color:ghostwhite" | '''Languages/skills''': Python, PostgreSQL, Flask
|-
|-
| style="text-align:center" | [[Development/Summer of Code/2017/AcousticBrainz|Ideas page]] | [http://acousticbrainz.org/ Main page] | [https://community.metabrainz.org/c/acousticbrainz Forums] | [http://blog.musicbrainz.org/category/acousticbrainz/ Blog]
| style="text-align:center" | [[Development/Summer of Code/2017/AcousticBrainz|Ideas page]] | [http://acousticbrainz.org/ Main page] | [http://blog.musicbrainz.org/category/acousticbrainz/ Blog] | [[discourse:c/acousticbrainz|Forums]]
|}
|}

<hr />
<hr />


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{| style="width:60%"
{| style="width:60%"
|-
|-
|rowspan = 3| [[file:BookBrainz logo small notext.png]]
| style="width:120px" rowspan="3" | [[File:BookBrainz logo small notext.png]]
|BookBrainz is a database of book metadata.
| BookBrainz is a database of book metadata.


This year we're interested in projects that help us get more data. The three suggested ideas to build proposals around are data importing, a web API and gamification of editing. Please see our sub-project ideas page for information on getting started and more details about the ideas themselves.
This year we're interested in projects that help us get more data. The three suggested ideas to build proposals around are data importing, a web API and gamification of editing. Please see our sub-project ideas page for information on getting started and more details about the ideas themselves.
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| style="background-color:ghostwhite" | '''Top 3 Desired Skills''': Node.js, Python, SQL
| style="background-color:ghostwhite" | '''Top 3 Desired Skills''': Node.js, Python, SQL
|-
|-
| style="text-align:center"|[[Development/Summer of Code/2017/BookBrainz|Ideas page]] | [[bb:|Main page]] | [https://community.metabrainz.org/c/bookbrainz Forums]
| style="text-align:center" | [[Development/Summer of Code/2017/BookBrainz|Ideas page]] | [[bb:|Main page]] | [[discourse:c/bookbrainz|Forums]]
|}
|}

<hr />
<hr />


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{| style="width:60%"
{| style="width:60%"
|-
|-
| rowspan = 3| [[file:CritiqueBrainz logo small notext.png]]
| style="width:120px" rowspan="3" | [[File: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.
| Fills the gap between music critics and raw data by providing a platform created for the sole purpose of Creative Commons licensed reviews.
|-
|-
| style = "background-color:ghostwhite" | '''Languages/skills''': Python, Flask, SQL, PostgreSQL
| style="background-color:ghostwhite" | '''Languages/skills''': Python, Flask, SQL, PostgreSQL
|-
|-
| style="text-align:center"|[[Development/Summer of Code/2017/CritiqueBrainz|Ideas page]] | [[cb:|Main page]] | [https://community.metabrainz.org/c/metabrainz Forums]
| style="text-align:center" | [[Development/Summer of Code/2017/CritiqueBrainz|Ideas page]] | [[cb:|Main page]] | [[discourse:c/metabrainz|Forums]]
|}
|}

<hr />
<hr />


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{| style="width:60%"
{| style="width:60%"
|-
|-
| rowspan = 3 | [[file:ListenBrainz logo small notext.png ]]
| style="width:120px" rowspan="3" | [[File: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.
| 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.
|-
|-
| style="background-color:ghostwhite" | '''Languages/skills''': Python
|-
|-
| style="text-align:center" | [[Development/Summer of Code/2017/ListenBrainz|Ideas page]] | [https://listenbrainz.org/ Main page]
| style = "background-color:ghostwhite" | '''Languages/skills''': Python
|-
| style="text-align:center"|[[Development/Summer of Code/2017/ListenBrainz|Ideas page]] | [https://listenbrainz.org/ Main page]
|}
|}

<hr />
<hr />


===[[MusicBrainz]]===
===[[MusicBrainz]]===
{| style="width:60%
{| style="width:60%"
|-
|-
| rowspan = 3 | [[file:MusicBrainz logo small notext.png]]
| style="width:120px" rowspan="3" | [[File:MusicBrainz logo small notext.png]]
|A community-maintained open source music encyclopedia that collects music metadata and makes it available to the public.
| A community-maintained open source music encyclopedia that collects music metadata and makes it available to the public.
|-
|-
| style = "background-color:ghostwhite" | '''Languages/skills''': JavaScript (React), Perl, Python, PostgreSQL, SQL
| style="background-color:ghostwhite" | '''Languages/skills''': JavaScript (React), Perl, Python, PostgreSQL, SQL
|-
|-
| style="text-align:center"|[[Development/Summer of Code/2017/MusicBrainz|Ideas page]] | [[mb:|Main page]] | [https://community.metabrainz.org/c/musicbrainz Forums]
| style="text-align:center" | [[Development/Summer of Code/2017/MusicBrainz|Ideas page]] | [[mb:|Main page]] | [[discourse:c/musicbrainz|Forums]]
|}
|}
<hr />


===[[MusicBrainz Picard]]===
{| style="width:60%"
|-
| style="width:120px" rowspan="3" | [[File: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 [[MusicBrainz_Enabled_Applications|tagger]]. It supports the majority of audio file formats, is capable of using audio fingerprints ([[AcoustID]]s), performing CD lookups and [[Disc ID|disc ID]] submissions, and it has excellent Unicode support.
|-
| style="background-color:ghostwhite" | '''Languages/skills''': Python, QT
|-
| style="text-align:center" | [[Development/Summer of Code/2017/Picard|Ideas page]] | [https://picard.musicbrainz.org/ Main page] | [[discourse:c/picard|Forums]]
|}
<hr />
<hr />





[[Category:Development]]
[[Category:Development]]



==ListenBrainz==

=== Create charts/graphs for user behaviour ===

Proposed mentors:''mayhem'', ''alastairp''<br>
Languages/skills: Python, Flask, BiqQuery, InfluxDB, data science, graphing, visualization, data architecture

ListenBrainz is preparing to stream its listen data to Big Query where anyone can have access to it in real time. From this data that is stored in BigQuery we wish to have a student build a general charting/graphing system that allows future contributors to explore the data with BigQuery. Any user should be able to craft a query that can be turned into a graph/visualization on the ListenBrainz site, with minimal effort. If a user crafts an interesting query, they should be able to open a pull request and supply the details of the query in order for the LB team to add this graph to the site.

This project requires building the behind the scenes BigQuery access, caching, periodic updates and synchronization between the ListenBrainz server and the BigQuery data store.

=== A way to associate listens with MBIDs ===

Proposed mentors: ruaok, alastairp, gentlecat<br>
Languages/skills: Python<br>
[https://community.metabrainz.org/c/metabrainz Forum for discussion]

Last.fm is broken because of the terrible way it handles metadata (artists with the same name are jumbled into a single page; at the same time, there are often multiple pages for the same artist/album/track due to spelling variations). ListenBrainz is smarter by taking advantage of MBIDs. But there needs to be some sort of interface for identifying listens as being for a particular track (or recording) MBID. This could allow the user to identify an album they listened to on Spotify as the same one they listen to in iTunes a few days later. Then they wouldn't remain separate artists or albums in the stats due to differences in metadata alone.

==MusicBrainz Picard==

=== Qt5/Py3 Port ===

Proposed Mentors: ''zas''/''bitmap''<br>
Languages/skills: Python, PyQt5<br>

Picard is going to be receiving a complete make-over code/feature/UI wise for v2.0.
A part of the v2.0 plans is porting the existing code to PyQt5/Py3 from PyQt4/py2 to allow for future support and better encoding compatibility along with new features of Qt5(such as High DPI scaling, better Widget and networking support and better cross-platform compatibility) and along with all the bug fixes that come with PyQt5 which will help cleaning up the code-base for Picard.

For more information see:
[https://tickets.metabrainz.org/browse/PICARD-588 PICARD-588]
[https://tickets.metabrainz.org/browse/PICARD-960 PICARD-960]

=== Picard Plugins API v2 ===

Proposed Mentors: ''zas''/''bitmap''<br>
Languages/skills: Python, PyQt5, Flask<br>

Picard 2.0 is going to be PyQt5 based, which means all the existing plugins have to be ported to PyQt5/Py3. Since Picard v1 plugins will be incompatible with v2 and vice versa, we need to implement a new v2 end-point for the Picard website. There is also a need of providing a uniform GUI api for plugins to allow quick GUI option settings, i18n support and UI uniformity with the rest of the Picard code. Also, additional metadata headers need to be implemented to allow cross-platform compatibility checks.

For more info see:
[https://tickets.metabrainz.org/browse/PICARD-977 PICARD-977]

Latest revision as of 10:44, 13 March 2017

Are you interested in working with MetaBrainz in Google Summer of Code 2017? 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
Ben Ockmore LordSputnik BookBrainz
Sean Burke Leftmost BookBrainz
Roman Tsukanov Gentlecat CritiqueBrainz, AcousticBrainz, ListenBrainz
Laurent Monin zas Picard

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 is our new project that crowdsources acoustic information for all music in the world and to make it available to the public. We already have low-level information about more than three 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.

This year we're interested in projects that help us get more data. The three suggested ideas to build proposals around are data importing, a web API and gamification of editing. Please see our sub-project ideas page for information on getting started and more details about the ideas themselves.

Top 3 Desired Skills: Node.js, Python, 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
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, QT
Ideas page | Main page | Forums