AudioMuse-AI and audiomuse-ai-plugin

The plugin is a Jellyfin-specific frontend that integrates with the core Dockerized environment, making them complementary tools used together rather than alternatives.

AudioMuse-AI
62
Established
audiomuse-ai-plugin
44
Emerging
Maintenance 22/25
Adoption 10/25
Maturity 15/25
Community 15/25
Maintenance 10/25
Adoption 9/25
Maturity 15/25
Community 10/25
Stars: 1,404
Forks: 70
Downloads:
Commits (30d): 121
Language: Python
License: AGPL-3.0
Stars: 85
Forks: 6
Downloads:
Commits (30d): 0
Language: C#
License: AGPL-3.0
No Package No Dependents
No Package No Dependents

About AudioMuse-AI

NeptuneHub/AudioMuse-AI

AudioMuse-AI is an Open Source Dockerized environment that brings automatic playlist generation to Jellyfin, Navidrome, LMS, Lyrion and Emby. Using powerful tools like Librosa and ONNX, it performs sonic analysis on your audio files locally, allowing you to curate the perfect playlist for any mood or occasion without relying on external APIs.

AudioMuse-AI helps you automatically generate intelligent playlists from your personal music collection hosted on media servers like Jellyfin, Navidrome, LMS, Lyrion, or Emby. It takes your existing audio files, analyzes their sonic characteristics, and outputs curated playlists for any mood or occasion without needing external music services. This is perfect for music enthusiasts who manage their own digital music library and want to discover it in new ways.

music-management home-media-server playlist-creation audio-analysis music-discovery

About audiomuse-ai-plugin

NeptuneHub/audiomuse-ai-plugin

AudioMuse-AI Jellyfin Plugin

This tool seamlessly integrates advanced music analysis features directly into your Jellyfin media server. It analyzes your audio library to understand the sonic characteristics of your music, then helps you find similar tracks or create instant mixes. Music enthusiasts who manage their personal audio collections with Jellyfin will find this useful for discovering new music within their library and enhancing their listening experience.

music-management audio-analysis media-server playlist-generation music-discovery

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