Factual package intelligence from PyPI

mechanoChemML 0.1.1 package intelligence

A machine learning software library for computational materials physics

pip install mechanochemml

Current version
0.1.1
Python requirement
Not declared
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
510.7 KiB
Release history
10 releases with files
Median release cadence
3 days

mechanoChemML dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. Sphinx ==1.8.1
  2. numpydoc ==0.9.2
  3. sphinx-rtd-theme ==0.4.3
  4. jinja2 ==3.0.3
  5. sphinx-autoapi
  6. matplotlib
  7. pandas
  8. scikit-learn
  9. natsort
  10. keras
  11. sobol-seq
  12. vtk
  13. SALib
  14. seaborn
  15. jupyter
  16. six >=1.16.0
  17. numexpr >=2.8.0
  18. jsonpickle >=2.1.0

The compact report shows 18 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mechanoChemML publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.7.

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 .