Factual package intelligence from PyPI

mhcbooster 2.3.2 package intelligence

PyPI does not currently provide a summary for mhcbooster.

pip install mhcbooster

Current version
2.3.2
Python requirement
==3.10.*
License
GPL-3.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
179.5 MiB
Release history
12 releases with files
Median release cadence
16 days

mhcbooster dependencies

PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. mhcflurry ==2.1.4
  2. tensorflow ==2.16.1
  3. tensorflow_probability ==0.24.0
  4. numpy
  5. pandas ==2.2.3
  6. mhcnames ==0.4.8
  7. pyteomics
  8. lxml
  9. matplotlib
  10. scipy
  11. scikit-learn ==1.5.2
  12. deeplc
  13. xmltodict
  14. hyperopt
  15. tqdm
  16. protobuf ==4.25.5
  17. matplotlib_venn
  18. peptdeep ==1.3.0
  19. pydivsufsort
  20. mokapot ==0.10.0
  21. im2deep
  22. PySide6
  23. statsmodels ==0.14.4
  24. koinapy ==0.0.9
  25. adjustText

The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mhcbooster publishes 1 wheel and 1 source archive for version 2.3.2. Wheel platform tags: any.

Declared Python classifiers: 3.10.

Metadata completeness

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

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

11 historical releases are fully yanked in PyPI metadata.