The latest articles on Forem by Neptunehub (@neptunehub). https://forem.com/neptunehub https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3499104%2F7e87e687-2ed1-4fa6-8e0b-784f3bd852bf.jpg https://forem.com/neptunehub en Neptunehub Sat, 13 Sep 2025 07:28:15 +0000 https://forem.com/neptunehub/audiomuse-ai-sonic-analysis-for-jellyfin-and-navidrome-5hd https://forem.com/neptunehub/audiomuse-ai-sonic-analysis-for-jellyfin-and-navidrome-5hd <p>I’m excited to share a project I’ve been working on called AudioMuse-AI, an open-source containers app that brings smart playlist / similar-song discovery to your media server setup—especially if you’re running Jellyfin or Navidrome.</p> <p>The GitHub repository is this:</p> <p><a href="https://github.com/NeptuneHub/AudioMuse-AI" rel="noopener noreferrer">https://github.com/NeptuneHub/AudioMuse-AI</a></p> <p>Audiomuse-AI in short:</p> <ul> <li>Uses Librosa + TensorFlow to do sonic analysis — extracting features like tempo, energy, moods, embeddings, etc. </li> <li>From that data, it can generate: <ul> <li>similar-song searches</li> <li>“song path” playlists between two tracks</li> <li>“sonic fingerprint” playlists based on your listening habits </li> <li>It’s containerized (Docker / Podman) and also deployable via Kubernetes (Helm chart provided) for folks who like to run their own infrastructure. </li> </ul> </li> </ul> <p>This is currently in beta (just passed from alpha). This means you can be one of the early adopter or maybe contribute in its success.</p> <p>The vision of AudioMuse-AI is bring Sonic Analysis free and opensource to everyone, without need of payment of any kind. If you like just drop a star ⭐ on the repo and maybe raise an issue with your feedback!</p> <p>Thanks everyone!</p> music opensource jellyfin kubernetes