# HeartMuLa/heartlib

HeartMuLa Official Repo: The Most Powerful Open-Source Music Generation Model of 2026

Repository: https://github.com/HeartMuLa/heartlib
Canonical: https://ross.abutalabs.com/products/heartlib
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-04-10T03:52:49+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 76, release rhythm 35, longevity 16
- inputs: {"age_days": 230, "days_push": 145, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3749, forks 450 (observed 2026-08-28T04:08:17.653452+00:00)

## What it is
HeartMuLa is a family of open-source music foundation models that generate music conditioned on lyrics and tags with multilingual support. The repo also includes HeartCodec (a music codec), HeartTranscriptor (lyrics transcription), and HeartCLAP (audio-text alignment for cross-modal retrieval).

## Use cases
- generate songs from lyrics and style tags
- create multilingual AI music with controllable lyrics
- transcribe lyrics from audio recordings
- encode and decode music with a high-fidelity neural codec
- build cross-modal music search with audio-text embeddings
- benchmark AI music generation models

## When to choose
- you need open-source, lyrics-conditioned music generation with multilingual support
- you want state-of-the-art open music quality comparable to commercial services
- you need companion tools for lyrics transcription or music retrieval embeddings

## When to avoid
- you need lightweight real-time music synthesis on CPU
- you only need simple MIDI or symbolic music generation
- you lack GPU resources for large 3B+ parameter models

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, audio-processing, llm-inference, speech-recognition
- domain: artificial-intelligence, deep-learning
- platform: python, cross-platform
- tags: music-generation, music-codec, lyrics-to-song, text-to-music, audio-text-alignment, lyrics-transcription, foundation-model, audio, natural-language-processing, gpu

## Member repositories
- HeartMuLa/heartlib (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:17.653452+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:29:01.160480+00:00, confidence not recorded.
  - readme: https://github.com/HeartMuLa/heartlib (fetched 2026-08-28T04:08:17.653452+00:00, sha 60e8f346fe3a)
- Data as of 2026-08-30T08:39:29.467469+00:00.