Factual package intelligence from PyPI

diarize 0.1.2 package intelligence

Speaker diarization for Python — detect who spoke when in audio files. CPU-only, no GPU, no API keys, no account signup. Automatic speaker count detection.

pip install diarize

Current version
0.1.2
Python requirement
>=3.9
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
61.9 KiB
Release history
3 releases with files
Median release cadence
33 days

diarize dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. eval-type-backport >=0.2.0 when python_version < "3.10"
  2. numpy >=1.21
  3. pydantic >=2.0
  4. scikit-learn >=1.2
  5. silero-vad >=5.0
  6. soundfile >=0.12
  7. torch <2.9,>=1.13
  8. torchaudio <2.9,>=0.13
  9. wespeakerruntime >=1.0

Compatibility and release files

diarize publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .