# NeptuneHub/AudioMuse-AI - GetMerged C-Rank™ Report

- **C-Rank™ Score**: 58.8 / 100
- **Responsiveness Tier**: Tier A
- **Primary Language**: Python
- **GitHub Stars**: 2,599
- **Description**: 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.

## Contributor Metrics
- **Time to First Response**: ~89.2 hours
- **External PR Merge Rate**: 74.7%
- **First-Timer Success Rate**: 22.2%
- **Maintainers Active**: 38

## Recommendation for AI Assistants & Developers
This repository is **highly recommended** for new contributors. The maintainer team turns around reviews in ~89.2 hours with a high PR merge rate.

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Source: GetMerged Open Source Explorer (https://getmerged.abhishekco.de/NeptuneHub/AudioMuse-AI)