Factual package intelligence from PyPI

deeprank2 3.1.0 package intelligence

DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants.

pip install deeprank2

Current version
3.1.0
Python requirement
>=3.10
License
Apache-2.0 license
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
224.1 KiB
Release history
10 releases with files
Median release cadence
34 days

deeprank2 dependencies

PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. notebook <8.0,>=7.2.1
  2. markov-clustering <1.0,>=0.0.6.dev0
  3. tensorboard <3.0,>=0.9.0
  4. protobuf <6.0,>=3.20.1
  5. dill <1.0,>=0.3.8
  6. pyarrow <17.0,>=16.1.0
  7. tables <4.0,>=3.9.2
  8. numpy <2.0,>=1.25
  9. scipy <2.0,>=1.13.1
  10. h5py <4.0,>=3.11.0
  11. networkx <4.0,>=3.1
  12. matplotlib <4.0,>=3.9.0
  13. scikit-learn <2.0,>=1.5.0
  14. chart-studio <2.0,>=1.1.0
  15. pdb2sql <1.0,>=0.5.3
  16. python-louvain <1.0,>=0.16
  17. tqdm <5.0,>=4.66.4
  18. freesasa <3.0,>=2.1.1
  19. biopython <2.0,>=1.83

The compact report shows 25 of 31 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

deeprank2 publishes 1 wheel and 1 source archive for version 3.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .