Factual package intelligence from PyPI

vickers_hardness 0.1.9 package intelligence

Predicting load dependent Vickers hardness based on chemical composition.

pip install vickers-hardness

Current version
0.1.9
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.0 MiB
Release history
10 releases with files
Median release cadence
0 days

vickers_hardness dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. plotly
  2. kaleido
  3. pandas
  4. pymatgen
  5. matplotlib
  6. numpy
  7. scikit_learn
  8. xgboost
  9. shap_hypetune

Compatibility and release files

vickers_hardness publishes 1 wheel and 1 source archive for version 0.1.9. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .