Factual package intelligence from PyPI

materials-learning-algorithms 1.4.0 package intelligence

Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.

pip install materials-learning-algorithms

Current version
1.4.0
Python requirement
>=3.10.4
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
506.7 KiB
Release history
5 releases with files
Median release cadence
244 days

materials-learning-algorithms dependencies

PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch
  2. numpy >=2
  3. ase
  4. mpmath
  5. optuna
  6. scipy
  7. pandas
  8. tensorboard
  9. openpmd-api
  10. scikit-spatial
  11. tqdm
  12. mendeleev >=1.0.0
  13. sympy
  14. meson
  15. ninja

The compact report shows 25 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

materials-learning-algorithms publishes 1 wheel and 1 source archive for version 1.4.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 5 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 .