Factual package intelligence from PyPI

maple-fep 0.1.1 package intelligence

Maximum A Posteriori Learning of Energies - Bayesian inference tools for Free Energy Perturbation (FEP) calculations in computational drug discovery

pip install maple-fep

Current version
0.1.1
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
232.5 KiB
Release history
2 releases with files
Median release cadence
0 days

maple-fep dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <3.0,>=1.21.0
  2. scipy >=1.7.0
  3. pandas >=1.3.0
  4. torch >=2.0.0
  5. pyro-ppl >=1.8.0
  6. networkx >=2.6.0
  7. scikit-learn >=1.0.0
  8. pydantic >=2.0.0
  9. matplotlib >=3.4.0
  10. seaborn >=0.11.0
  11. tqdm >=4.60.0
  12. adjustText >=0.8
  13. requests >=2.25.0

The compact report shows 25 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

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

Declared Python classifiers: 3.10, 3.11, 3.12.

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 .