# magenta/magenta

Magenta: Music and Art Generation with Machine Intelligence

Repository: https://github.com/magenta/magenta
Canonical: https://ross.abutalabs.com/products/magenta
Language: Python
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2026-01-06T01:17:54+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 60, release rhythm 8, longevity 100
- inputs: {"age_days": 3772, "days_push": 240, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 19808, forks 3771 (observed 2026-08-28T04:11:29.261619+00:00)

## What it is
Magenta is a Google Brain research project and Python TensorFlow library for generating music, images, and drawings with machine learning. The main repository is now archived and read-only, with ongoing work moved to individual Magenta project repositories.

## Use cases
- generate music with machine learning
- generate images and drawings with deep learning
- build creative AI tools for musicians
- experiment with generative art models
- run music generation models in Python notebooks

## When to choose
- you want to study or reproduce published generative music and art research
- you need the original Magenta Python models and tools for legacy projects

## When to avoid
- you need actively maintained generative music or art models - use the newer individual Magenta repositories instead
- you want a production-ready creative AI tool
- you need browser-based models - use Magenta.js instead

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, nlp, image-processing, audio-processing
- domain: machine-learning, deep-learning, artificial-intelligence, media
- platform: python, cross-platform
- tags: generative-art, music-generation, tensorflow, google-brain, creative-ai, archived, audio

## Member repositories
- magenta/magenta (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:29.261619+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 2026-08-29T16:59:31.663917+00:00, confidence not recorded.
  - readme: https://github.com/magenta/magenta (fetched 2026-08-28T04:11:29.261619+00:00, sha cb0629df92c4)
- Data as of 2026-08-30T08:39:29.467469+00:00.