# LMS

LMS is a self-hosted media applications app. Lightweight Music Server (LMS) is a self-hosted music streaming software: access your music collection from anywhere using a web interface! It is open source and self-hosted, installable on Docker Hub and Unraid.

Canonical page: https://ourlocalhost.com/app/945/lms

## Description

Lightweight Music Server (LMS) is a self-hosted music streaming software: access your music collection from anywhere using a web interface! Main features: - Recommendation engine - Multi-valued tags: genre, mood, artists, ... - Artist relationships: composer, conductor, lyricist, mixer, performer, producer, remixer - Release types: album, single, EP, compilation, live, ... - MusicBrainz Identifier support to handle duplicated artist and release names - ListenBrainz support for: - Scrobbling and synchronizing listens - Synchronizing 'love' feedbacks - Audio transcoding for maximum interoperability and reduced bandwith requirements - Multi-library support - ReplayGain support - User management, with several authentication backends - Subsonic/OpenSubsonic API support

## Platform availability

Available on 1 of 9 platforms: Unraid.

## Health score

74/100 (Good), based on 4 of 5 factors.
- Maintained: 99 (last commit 36 days ago)
- Popular: 65 (1,685 GitHub stars)
- Easy to install: 35 (1 install platform, install notes, Docker image)
- Security check: 76 (no serious findings, CI, tests, OpenSSF Scorecard 4.8/10)

## Links

- Docker Hub: https://hub.docker.com/r/epoupon/lms
- GitHub: https://github.com/epoupon/lms
- Unraid: https://ca.unraid.net/apps/lms-1k95idb15ucaoj?q=lms
- Official website: http://lms-demo.poupon.dev

## Common questions

### Can LMS use more than one authentication method for users?

Yes. It includes user management with several authentication backends.

### Can external music clients connect to LMS?

Yes. LMS supports the Subsonic/OpenSubsonic API and includes jukebox support.

### How fast is the default audio-similarity recommendation engine for large libraries?

It uses MusicNN embeddings, and reported throughput ranges from about 1,000 tracks/hour on a Raspberry Pi 4 to about 25,000 tracks/hour on an Intel Core i5-13500. Performance depends on scanner threads and storage speed.

### Where should I put artist metadata and images?

LMS supports an Artist information folder anywhere within the scanned libraries. It is best placed in a dedicated ArtistInfo directory in the root of a media library.

### Which external services can LMS use for listen tracking and feedback?

It supports ListenBrainz for scrobbling, synchronizing listens, and synchronizing love feedback. It also supports Last.fm for scrobbling listens.

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Source: Our Local Host (https://ourlocalhost.com/app/945/lms), the self-hosted and open-source app directory.