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deezer/spleeter

Deezer source separation library including pretrained models. observed · 2026-10-12

github.com/deezer/spleeter · homepage · Python · MIT (permissive) observed · 2026-10-12

Health v2 · maintenance only

59/100

  • Activity 80
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2581
  • days_rel: n/a
  • days_push: 124
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

28480 stars · 3050 forks observed · 2026-10-12

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.98

Spleeter is a Python library for music source separation that provides pretrained TensorFlow models. It can be used via a command‑line interface or directly in Python code to split audio into vocal, drums, bass, and other stems.

Use cases

  • Separate vocals from a full‑mix song to create a karaoke version.
  • Extract drums, bass, and other instruments from tracks for remixing.
  • Split large music collections into individual stems for analysis or training data.
  • Generate isolated instrument tracks for music education or practice.
  • Prepare multi‑stem datasets quickly using GPU acceleration.
  • Create backing tracks by removing specific sources from audio files.

When to choose

  • You need fast, high‑quality source separation with ready‑to‑use pretrained models.
  • You prefer a Python‑based solution that works both as a CLI tool and a library.
  • You have access to a GPU or want to leverage TensorFlow for accelerated processing.

When to avoid

  • You require real‑time streaming separation or ultra‑low latency processing.
  • Your project cannot use TensorFlow or Python as a runtime.
  • You need support for languages or platforms not covered by the provided wheels (e.g., .NET, Java).

Facets

library · maturity active

audio-processing machine-learning cli artificial-intelligence machine-learning media python windows cli source-separation pretrained-models tensorflow music stems gpu-accelerated fast linux macos docker

7 sources

Member repositories

RepositoryRoleHealth v2
deezer/spleetermain59

For agents

markdown · JSON · MCP: product_card(name="deezer/spleeter")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem