Package · PyPI

msst

PyPI · v0.1.0 · MIT

Training and inference code for music source separation experiments.

Technologies

Install

pip install msst

Adoption

Adoption: Not published by PyPI; Not published
Popularity: Not published by PyPI; Not published
Dependents: Not published by PyPI; Not published
Maintenance: 0.87; DerivedRelease cadence and recency, 0 to 1
Releases per year: 365; 1 version over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days: Not published by PyPI; Not published
30 days: Not published by PyPI; Not published
90 days: Not published by PyPI; Not published
1 year: Not published by PyPI; Not published

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version: v0.1.0; 1 version
First published: SEP 9, 2026
Last release: SEP 9, 2026; 45d ago
Licence: MIT
Links: PyPI page (opens in a new tab); Homepage · github.com (opens in a new tab); Docs · github.com (opens in a new tab)

Repository

In the Crest catalog

ZFTurbo/Music-Source-Separation-Training

Repository for training models for music source separation.

Stars: 1.6K
Forks: 224
Language: Python
Last push: 28d ago
Last release: 58d ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.1.0

Runtime 9

PyYAMLAny version
librosaAny version
matplotlibAny version
ml-collectionsAny version
numpy>=1.23
omegaconfAny version
soundfileAny version
torch<2.12,>=2.0.1
tqdmAny version

Related news

No published news event mentions this package or its repository yet.