Factual package intelligence from PyPI

lbvslitmus 1.2.1 package intelligence

A modern, extendible platform for ligand-based virtual screening benchmarking. Automates data downloading, preprocessing, ML training, evaluation, and statistical analysis. Supports multiple datasets,

pip install lbvslitmus

Current version
1.2.1
Python requirement
<3.14,>=3.11
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
147.8 KiB
Release history
3 releases with files
Median release cadence
18 days

lbvslitmus dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. hf-xet
  2. huggingface-hub
  3. joblib >=1.4.2
  4. numpy <3,>=1.20.0
  5. pandas <3
  6. pyarrow
  7. rdkit <=2024.9.5
  8. requests >=2.32.3
  9. scikit-fingerprints >=1.15.0
  10. scikit-learn <2,>=1.0.0
  11. scipy <2,>=1.0.0
  12. tqdm <5,>=4.0.0
  13. lightgbm <5,>=4
  14. matplotlib
  15. seaborn
  16. pandas-stubs ~=2.3.3
  17. bbt-test >=0.0.2

The compact report shows 18 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

lbvslitmus publishes 1 wheel and 1 source archive for version 1.2.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 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.