GSoC 2026: Bringing Internationalization (i18n) to BookBrainz

Introduction

Greetings, everyone!

I am Garv Thakre (@garvthakre:matrix.org on Matrix), an Agentic-AI FullStack Developer . This summer, I had the opportunity to participate in Google Summer of Code 2026 with MetaBrainz, where I worked on the internationalization (i18n) for BookBrainz.

I was mentored by Nicolas Pelletier (@monkey:chatbrainz.org on Matrix). This post summarizes my project, its outcomes, and my experience over the course of the program.

Project Overview

BookBrainz aims to collect information about every book ever written, but until now, the interface was only in English. Since books exist in thousands of languages, having an English-only UI made it tough for non-English contributors to navigate, read, or add metadata.

My main goal this summer was to get BookBrainz ready for translation and set up the foundation so the community can actually start localizing it. Here is what that involved:

GSoC 2026: Playlists Sorting and Organization

Helloo Everyone!
My name is Yateen, a final year cse student at Indian Institute of Technology Jodhpur. My matrix username is (@yateen) and GitHub. I started open source at the beginning of this year. I was selected as a GSoC contributor and worked on the Playlists Sorting and Organization project. It was a wonderful experience working on a tech stack of React, Databases, APIs, Jest + Testing Library, etc. What was more amazing was to work under the mentorship of Ansh Goyal (Github), Monkey (Github) and Jade (Github) and be a part of the wonderful MetaBrainz team.

Pre-selection Contributions

Before GSoC officially started, I contributed to ListenBrainz through several smaller PRs that helped me learn the codebase and review process. Firstly I started with exploring some small UI/UX issues such as preventing duplicate error toasts and fixing toast overlap with the YouTube player, accessibility improvements like adding aria-labels to icon-only playback buttons. Then I started solving tickets which are feature-oriented like including auto-save for settings, showing artist name relationships. This pre-selection period helped me get comfortable with ListenBrainz patterns and mentor feedback before taking on the larger GSoC features.

Project Overview

Over the summer I worked on the playlist features and improved the existing playlist structure. I shipped four related features that turn ListenBrainz playlists from a flat list into something you can search, tag, sort for listening, and import from MusicBrainz collections.

Welcome Summer of Code 2026 contributors!

We are excited to announce the 7 GSOC participants working with us this summer on MetaBrainz projects!
Our apologies for not publishing this sooner, in this complicated first part of the year we simply forgot the announcement, but rest assured the work is progressing on all projects.

As always, the selection process was incredibly tough. We received a great batch of proposals and had a limited number of slots.
We want to sincerely thank everyone who took the time to meet our community and submit a proposal with us!

The whole list of selected proposals can be found on the GSOC website but here is a TL;DR breakdown:

ListenBrainz proposals:

Integrate MusicBrainz events into ListenBrainz (Shirsak)

MusicBrainz has data about past and upcoming concerts that ListenBrainz users can’t see yet. This project will bring live music events directly into ListenBrainz, allowing you to discover shows tailored to your favorite artists.

Compose Multiplatform Migration of ListenBrainz-Android (Nirvan)

Currently, ListenBrainz has a native Android app but no iOS version. This project will migrate the app to a single, shared codebase using Kotlin Multiplatform. This means future features and bug fixes will launch on both Android and iOS at the same time.

Playlists Sorting and Organization (Yateen)

Giving ListenBrainz playlists a massive user-experience upgrade. Users will soon be able to search through playlists, organize them using custom tags, sort tracks (by artist, title, or date added), and convert their MusicBrainz collections straight into playlists.

MusicBrainz proposals:

Modernize search storage format for the MusicBrainz database (Junaid)

Cleaning up the under-the-hood engine that powers MusicBrainz search (Solr). By upgrading internal configurations and removing data redundancy, this project will optimize performance and make searching for music faster and more efficient.

GraphQL Server as a Musicbrainz API Alternative (Sreehari)

Building a fast, modern alternative way for external developers to request MusicBrainz data. This makes it significantly easier and more efficient for third-party developers to build apps using our database.

BookBrainz proposals:

Set Up BookBrainz for Internationalization (Garv)

Breaking down language barriers! BookBrainz is currently English-only. This project lays the technical groundwork to support multiple languages and sets up a BookBrainz project on translations.metabrainz.org where volunteer translators can start translating the site immediately.

Development of a new Calibre plugin for BookBrainz (Waqib)

Connecting BookBrainz with Calibre (the popular e-book management software). This plugin will allow Calibre users to automatically pull book metadata and collections directly from BookBrainz to organize their personal digital libraries.

What if you’re not in GSoC 2026?

Reading this and feeling inspired for contributing to the code still? Volunteer contributors are very welcome all year round even though we might have slightly less time available to help you during the summer. It is also putting you in an ideal situation for applying to next year’s GSoC. You can find some tips for applying to GSoC with us in one of our previous posts. When you are ready, join us on the MetaBrainz Matrix Channel and showcase your initiative and your skills!

GSoC 2025: Building Libretto, a Matrix Archiver

This post is also available on Jade’s blog

Hello! I’m Jade Ellis, AKA JadedBlueEyes. You might know me from my project with MetaBrainz last year – if not, I’m happy to have the chance to introduce myself. I’m an undergraduate Computer Science student at the University of Kent in England, a music enthusiast and (in my spare time) a climber.

The Setting

In September 2024, MetaBrainz switched from IRC to Matrix as our primary form of communication. Matrix is a more feature-rich alternative to IRC, with capabilities like replies, edits, and reactions, while still being open source and aligning with the principles of our project.

When MetaBrainz primarily used IRC, we had a piece of software called BrainzBot. This was a multi-functional Python app that, most importantly, created a web-accessible archive of all messages in the MetaBrainz channels. Thanks to the bridges between IRC and Matrix, BrainzBot continued to trundle along, but it couldn’t understand modern features like edits, replies, or media. The code itself was also becoming decrepit—a fork of an abandoned project, showing its age.

This led to my GSoC project: to build a replacement for BrainzBot’s archival function – a chat archiver that natively understands and preserves Matrix’s rich features.

GSoC 2025: Onboarding Revamp in ListenBrainz Android

Hi everyone,

I’m Hemang Mishra (hemang-mishra on IRC and hemang-mishra on GitHub). I’m currently a pre-final year student at IIIT Jabalpur, India. This summer, I had the opportunity to participate in Google Summer of Code with MetaBrainz. My mentor for the program was Jasjeet Singh (jasje on IRC).

I contributed to ListenBrainz Android, where I worked on revamping the onboarding experience, improving login, adding listen submission apps, integrating Listening Now, and setting up app updates. The journey has been both exciting and full of learning, and I’m truly grateful for this opportunity.

Project Overview

ListenBrainz is a powerful platform that helps track listening history, share music tastes, and build a community around music.

The main goals of my project were:

Revamping onboarding – introducing users to the app’s core features and handling permissions with clear rationale.
Improving login –replacing simple web pages with a custom Compose-based UI, and experimenting with the DOM tree of the web page to automate form submissions and token extraction in the background.
Listen submission apps – prompting users during onboarding to select which apps to collect listens from, preventing unwanted submissions.
Listening Now integration – adding “Listening Now” into BrainzPlayer.
App updates – enabling updates for both Play Store and non-Play Store (F-Droid or sideloaded) releases.

GSoC 2025: MetaBrainz Notification System

Hello, my name is Shaik Junaid (IRC nick fettuccinae and fettuccinae on GitHub). I’m an undergrad computer science student from MGIT, Hyderabad, India. My project focused on adding a central notification system for MetaBrainz.

Project Overview

This project’s idea was suggested to me by mentor @ruaok (AKA mayhem on IRC). I submitted my proposal on the MetaBrainz Forum and got it reviewed by @kartikohri13 (AKA lucifer on IRC), and finally got selected for GSoC 2025 .

A centralized notification management system will various MetaBrainz projects send notifications to users without rewriting boilerplate code. It will also keep users informed about the latest events and new features across projects. This is a goal bigger than the scope of a single GSoC project. To keep it reasonable, my project focused on implementing REST APIs, hosted on metabrainz.org, to manage notifications and user preferences for notifications. Additionally, I integrated the system with ListenBrainz to demonstrate its functionality.

The project spec sheet can be found here.

GSoC 2025: Advanced User Statistics Visualizations

Greetings, Everyone!

I am Granth Bagadia (holycow23 on IRC), an undergraduate Computer Science student at Birla Institute of Technology and Science (BITS), Pilani. This summer, I had the opportunity to participate in Google Summer of Code 2025 with MetaBrainz, where I worked on introducing advanced user statistics visualizations for ListenBrainz.

I was mentored by Ansh Goyal (ansh on IRC), Kartik Ohri (lucifer on IRC), and Nicolas Pelletier (monkey on IRC). This post summarizes my project, its outcomes, and my experience over the course of the program.

Project Overview

ListenBrainz already provided some listening statistics, but these were limited in scope and depth. My project set out to design and implement advanced statistics that could offer users more meaningful insights into their listening habits. Since ListenBrainz is a user-centric platform, the idea was to create features that would let listeners explore their behavior from multiple perspectives. My original proposal focused on introducing a few key statistics.

The core statistics included:

Genre Trends – showing what genres a user listens to at different hours of the day.
Era Statistics – highlighting which musical eras dominate a user’s listening history.
Artist Evolution – tracking how much a user listens to specific artists over time.

GSoC 2025: Importing Listening History Files in Listenbrainz

Hi Everyone!

I am Suvid Singhal (suvid on matrix), an undergraduate Computer Science student at Birla Institute of Technology and Science (BITS), Pilani. I took part in the Google Summer of Code 2025 and have been contributing to Metabrainz Foundation since December 2024. My GSoC project was to develop a file-based listening history importer for ListenBrainz. The project was mentored by Lucifer and Monkey.

Project Overview

Listenbrainz is a platform to track your music habits, discover new music and share your music taste with the community. A feature I missed after creating my ListenBrainz account and connecting Spotify was the ability to see my complete Spotify listening history. My project addresses this gap by allowing users to export their extended streaming history from Spotify and import it into ListenBrainz. Additionally, users can import backups from their old ListenBrainz accounts. With the foundation ready, it will be simpler to add support for more file importers in future. This makes transitioning to Listenbrainz easier.

The importer can be accessed here.

GSoC 2025: Integrate music streaming from Funkwhale & Navidrome

Hey Everyone 👋🏻 !

I am Mohammad Amanullah (AKA m.amanullah7 on IRC and mAmanullah7 on GitHub) final year student at National Institute of Technology Agartala, India and along with that I am a diploma level student at Indian Institute of Technology Madras, India. I was thrilled to be selected as a contributor in the Google Summer of Code (GSoC) 2025 program. My project focused on integrating music streaming from Funkwhale & Navidrome. It was mentored by Lucifer and Monkey.

Let’s start 🙂

Project Overview

ListenBrainz has a number of music discovery features that use BrainzPlayer to facilitate track playback. BrainzPlayer (BP) is a custom React component in ListenBrainz that uses multiple data sources to search and play a track. As of now, it supports Spotify, Youtube, Apple Music and Soundcloud as a music service. It would be useful for BrainzPlayer to support stream music web apps like Navidrome and Funkwhale so that users could stream their private collections as well on ListenBrainz. For those unfamiliar, Funkwhale and Navidrome are self-hosted music servers that implement the Subsonic API, a widely adopted standard for streaming and managing personal music libraries.

Before you proceed further, listen to a song and explore new services so you can feel more when you read the rest of the blog! Check out your Connect services page 🎶

GSoC 2024: MusicBrainz – Internet Archive integration: Saving external links in the Wayback Machine

Introduction

Greetings, Everyone!

I am Ashutosh Aswal (IRC nick yellowhatpro), a Computer Science grad from PEC University, India. This is my second time contributing to MetaBrainz as a GSoC contributor, and unlike the last time, when I contributed to the ListenBrainz Android app, this year, I took a challenge to learn a new language and framework (Rust and Postgres) to create this delightful project, Melba, which stands for MusicBrainz’s External Links wayBack machine Archiver.

As the name suggests, the project saves external webpages linked in the MusicBrainz database to the Internet Archive using Wayback Machine API. Let me walk you through the making of Melba.

Let’s begin!! ( •̀ ω •́ )✧