Factual package intelligence from PyPI

neuroquant 2.1.0 package intelligence

Production-grade neural-network quantization framework with NSGA + ONNX + hardware-aware search

pip install neuroquant

Current version
2.1.0
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
469.1 KiB
Release history
2 releases with files
Median release cadence
24 days

neuroquant dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.4
  2. torchvision >=0.19
  3. numpy >=1.26
  4. pandas >=2.0
  5. matplotlib >=3.7
  6. seaborn >=0.13
  7. pyyaml >=6.0
  8. pydantic <3.0,>=2.5
  9. mlflow >=2.10
  10. pymoo >=0.6.0
  11. onnx >=1.14
  12. onnxruntime >=1.16

The compact report shows 12 of 25 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

neuroquant publishes 1 wheel and 1 source archive for version 2.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .