Factual package intelligence from PyPI

chem_wasserstein 1.0.12 package intelligence

A high performance mapping class to construct ElM2D plots from large datasets of inorganic compositions.

pip install chem-wasserstein

Current version
1.0.12
Python requirement
>=3.7
License
GNU General Public License v3 or later (GPLv3+)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.0 MiB
Release history
14 releases with files
Median release cadence
0 days

chem_wasserstein dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pqdm >=0.1.0
  2. plotly
  3. pandas
  4. numba >=0.53.1
  5. scipy
  6. tqdm
  7. colorama
  8. umap-learn
  9. dist_matrix >=1.0.2
  10. ElMD ==0.4.8
  11. scikit_learn

Compatibility and release files

chem_wasserstein publishes 1 wheel and 1 source archive for version 1.0.12. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 14 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .