spleeter

Music source separation library with pretrained TensorFlow stem-splitting models

Live demo ↗ Documentation ↗ Repository on GitHub ↗

Stars: 28.5k
License: MIT
Last commit: Jun 2026
Last release: Sep 2021
Language: Python

Missed the latest GitHub check; these facts may be older.

Overview

Spleeter is Deezer's Python library and CLI for splitting music into stems using pretrained TensorFlow models. It ships 2-stem (vocals/accompaniment), 4-stem (vocals/drums/bass/other) and 5-stem (adds piano) models, and can train new separation models given a dataset of isolated sources. It installs with pip or runs from a Docker image.

Who it is for: Developers and audio engineers who need local stem separation from music files

Strengths

Pretrained 2, 4 and 5 stem models, usable from CLI or Python API
README claims 4-stem separation about 100x faster than real-time on a GPU
MIT-licensed; pip install, Docker image and Colab notebook provided
Includes training code for custom separation models given isolated-source data

Weaknesses

Last release is 2.1.0 from 2021-09; that release made breaking CLI changes
Known issues on Apple M1 due to TensorFlow compatibility; workaround needed
Requires ffmpeg and libsndfile installed separately
Faster, more precise processing is offered only in the commercial Spleeter Pro

What it needs

GPU optional
Docker
Needs ffmpeg, libsndfile, TensorFlow
Models: spleeter:2stems, spleeter:4stems, spleeter:5stems

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How to choose

Read the license: open weights are not always open for commercial use.
Check the hardware the model needs at the precision you plan to run.
See whether the repo ships inference code or only weights.

Health

Releases: Not checked
Top contributor: Not checked
Security advisories: Not checked
Package advisories: Not checked
OpenSSF Scorecard: Not checked

Not read for this project yet: each refresh reads the facts of a few projects. Bots and coding-agent accounts are left out of the commit counts. Not part of the score: how we check.

License in plain words

MIT Permissive

Use it at work: Yes
Change it and rebrand it: Yes
Sell it or host it for others: Yes

Your part: Keep the copyright and license notice in copies you ship.

A plain summary, not legal advice. Read the license on GitHub ↗ (opens in a new tab)

Where to run it

Vast.ai ↗ (opens in a new tab)Rent a GPU by the hour from a marketplace of hosts.

Referral links: if you sign up through one, we get a commission. They never change a rank.

#7 of 10 in Open models on Archestack, as of 15 Oct 2026.

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