Factual package intelligence from PyPI

ml-env 0.1.0 package intelligence

PyPI does not currently provide a summary for ml-env.

pip install ml-env

Current version
0.1.0
Python requirement
>=3.8,<4.0
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.7 KiB
Release history
2 releases with files
Median release cadence
0 days

ml-env dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.18.5,<2.0.0
  2. adaptive >=0.11.1,<0.12.0
  3. scikit-learn >=0.23.2,<0.24.0
  4. scikit-image >=0.17.2,<0.18.0
  5. tensorflow >=2.3.0,<3.0.0
  6. matplotlib >=3.3.2,<4.0.0
  7. plotly >=4.12.0,<5.0.0
  8. requests >=2.24.0,<3.0.0
  9. seaborn >=0.11.0,<0.12.0
  10. deepdish >=0.3.6,<0.4.0
  11. pandas >=1.1.4,<2.0.0
  12. xarray >=0.16.1,<0.17.0
  13. xyzpy >=1.0.0,<2.0.0
  14. h5py >=2.10.0,<3.0.0
  15. SQLAlchemy >=1.3.20,<2.0.0
  16. numba >=0.51.2,<0.52.0
  17. numexpr >=2.7.1,<3.0.0

Compatibility and release files

ml-env publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.8, 3.9.

Metadata completeness

PyPI does not currently declare: meaningful summary, project URL. PyDeps marks these fields as unknown instead of guessing values.

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 .

The project does not publish external project URLs in its PyPI metadata.