Factual package intelligence from PyPI

moml-ca 0.1.1 package intelligence

Molecular Machine Learning for Chemical Applications - A comprehensive Python package for molecular representation learning and property prediction using Graph Neural Networks

pip install moml-ca

Current version
0.1.1
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
447.8 KiB
Release history
2 releases with files
Median release cadence
0 days

moml-ca dependencies

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

  1. numpy >=1.21.0
  2. scipy >=1.7.0
  3. pandas >=1.3.0
  4. torch >=1.12.0
  5. torch-geometric >=2.0.0
  6. torch-scatter >=2.1.0
  7. rdkit >=2022.03.1
  8. openmm >=7.5.0
  9. mdtraj >=1.9.5
  10. MDAnalysis >=2.4.0
  11. pdbfixer-wheel >=1.11.0
  12. dask >=2022.2.0
  13. distributed >=2022.2.0
  14. pyyaml >=6.0
  15. python-json-logger >=2.0.0
  16. matplotlib >=3.5.0
  17. seaborn >=0.11.0
  18. scikit-learn >=1.0.0

The compact report shows 18 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

moml-ca publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.8, 3.9.

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 .