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NeptuneHub / AudioMuse-AI

AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.

Why this job: works in the areas we cover, but does not say which job it does

What it does

What started as a personal project now powers music libraries all over the world. AudioMuse-AI will always remain free and open source because I believe sonic analysis should be accessible to everyone, regardless of their budget. No ads, no paywalls, no subscriptions. Your music library is analyzed on your own server, keeping your data completely under your control.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit yesterday
Stars
2,937
+37 this week
Licence
AGPL-3.0
Share-alike, even hosted
Downloads for
3 systems
Mac, Windows, Linux
Latest version
v3.7.1
Released 7 days ago
Built with
Python
86% of the code

Is it looked after?

Contributors
6
Last 90 days
Issues
94% closed
25 still open
Pull requests
320 merged
2 waiting
Releases
126
30+ in the last year

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More: download files, languages, topics and project record

Download files, v3.7.1

  • Mac1 file, 23 downloads
  • Windows1 file, 60 downloads
  • Linux4 files, 72 downloads

All files on GitHub (opens in new tab)

Languages

  • Python 86%
  • HTML 10%
  • JavaScript 3%
  • CSS 1%

Topics

  • jellyfin
  • playlist
  • docker
  • k3s
  • kubernetes
  • llm
  • librosa
  • navidrome
  • sonic-analysis
  • jellyfin-plugin
  • onnx
  • clap

Project record

  • JobOther AI tools
  • StatusListed
  • Commits3,533
  • Forks169
  • Watching10
  • Stars in 28 days+219
  • CreatedMay 24, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 12, 2026

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