Factual package intelligence from PyPI

bayesvalidrox 2.2.0 package intelligence

An open-source, object-oriented Python package for surrogate-assisted Bayesain Validation of computational models.

pip install bayesvalidrox

Current version
2.2.0
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
321.6 KiB
Release history
10 releases with files
Median release cadence
202 days

bayesvalidrox dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.26.4
  2. pandas >=2.2.3
  3. joblib >=1.5.3
  4. seaborn >=0.13.2
  5. tqdm >=4.64.0
  6. chaospy ==4.3.21
  7. h5py >=3.9.0
  8. statsmodels >=0.14.2
  9. multiprocess >=0.70.16
  10. corner ==2.2.3
  11. umbridge ==1.2.4
  12. matplotlib <3.10,>=3.7 when python_version < "3.10"
  13. scipy <1.11,>=1.9 when python_version < "3.10"
  14. emcee <3.1.6,>=3.0.2 when python_version < "3.10"
  15. scikit-learn <1.2,>=1.0 when python_version < "3.10"
  16. datasets <4.0.0,>=2.20.0 when python_version < "3.10"
  17. matplotlib >=3.10.0 when python_version >= "3.10"
  18. scipy >=1.15.2 when python_version >= "3.10"
  19. emcee >=3.1.6 when python_version >= "3.10"
  20. scikit-learn <1.8.0,>=1.7.2 when python_version >= "3.10"
  21. datasets >=4.6.1 when python_version >= "3.10"

Compatibility and release files

bayesvalidrox publishes 1 wheel and 1 source archive for version 2.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 10 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 .

1 historical release is fully yanked in PyPI metadata.