Ross ROSS = Recommend OSS · open-source software intelligence for agents

metabrainz/listenbrainz-server

Some data may be outdated — see provenance labels.

Server for the ListenBrainz project, including the front-end (javascript/react) code that it serves and all of the data processing components that LB uses. observed · 2026-09-21

github.com/metabrainz/listenbrainz-server · homepage · Python · GPL-2.0 (copyleft) observed · 2026-09-21

Health v2 · maintenance only

92/100

  • Activity 95
  • Release rhythm 83
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 4.0
  • age_days: 4063
  • days_rel: 35
  • days_push: 32
  • n_releases_24m: 111

Full methodology

Adoption not part of the score

1014 stars · 359 forks observed · 2026-09-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-07, confidence 0.95

ListenBrainz server is the open-source backend and front-end for tracking users' music listening history, providing insights, visualizations, and an open API over the collected data. It is operated by the MetaBrainz Foundation and publishes listening data as open data.

Use cases

  • track my music listening habits and get insights
  • self-host an open-source scrobbling service
  • submit listens to an API from my music player
  • analyze large-scale listening data with spark
  • visualize my listening history and share my taste
  • get music recommendations based on my listens
  • query open music listening data via an API

When to choose

  • you want an open, self-hostable alternative to Last.fm scrobbling
  • you need an open API and open dataset for music listening analytics
  • you want listening-history recommendations and visualizations

When to avoid

  • you need a small embeddable library rather than a full server deployment
  • you only need audio playback or library management rather than listening tracking
  • you cannot operate Python/Spark-based big-data infrastructure

Facets

application · maturity active

http-server api-framework data-science streaming database data-visualization web-framework audio analytics big-data web-development apis self-hosted media python self-hosted cross-platform listenbrainz music-tracking scrobbling open-data spark music-recommendations listening-history metabrainz react web-server docker

1 source

Member repositories

RepositoryRoleHealth v2
metabrainz/listenbrainz-servermain92

For agents

markdown · JSON · MCP: product_card(name="metabrainz/listenbrainz-server")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem