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
65
Established
audiomuse-ai-plugin
47
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 15/25
Community 15/25
Maintenance 13/25
Adoption 9/25
Maturity 15/25
Community 10/25
Stars: 1,404
Forks: 70
Downloads:
Commits (30d): 115
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.

Leverages a microservices architecture with Flask and Worker containers to perform distributed sonic analysis using Librosa embeddings and ONNX models, enabling features like song clustering, 2D music mapping, and interactive playlist mixing via "Song Alchemy." Supports multi-architecture deployment (AMD64/ARM64) via Docker Compose, Podman, or Kubernetes with Helm charts, while maintaining separate plugins for each media server integration.

About audiomuse-ai-plugin

NeptuneHub/audiomuse-ai-plugin

AudioMuse-AI Jellyfin Plugin

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