Factual package intelligence from PyPI

heterodyne 2.0.1 package intelligence

CPU-optimized JAX-based heterodyne scattering analysis for XPCS under nonequilibrium conditions

pip install heterodyne

Current version
2.0.1
Python requirement
>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
3.5 MiB
Release history
2 releases with files
Median release cadence
0 days

heterodyne dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.3
  2. scipy >=1.17
  3. jax >=0.8.2
  4. jaxlib >=0.8.2
  5. jaxopt >=0.8.3
  6. interpax >=0.3.12
  7. nlsq >=0.6.10
  8. evosax >=0.2.0
  9. numpyro >=0.19.0
  10. blackjax >=1.3
  11. arviz >=0.23
  12. h5py <4.0,>=3.15
  13. pyyaml >=6.0.3
  14. psutil >=7.2
  15. cloudpickle >=3.1
  16. tqdm >=4.67.1
  17. matplotlib >=3.10
  18. datashader >=0.18

The compact report shows 18 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

heterodyne publishes 1 wheel and 1 source archive for version 2.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.12, 3.13.

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 .