Factual package intelligence from PyPI

hep-ml-lab 0.4.3 package intelligence

An end-to-end framework used for research combining high-energy physics phenomenology with machine learning.

pip install hep-ml-lab

Current version
0.4.3
Python requirement
<3.12,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
79.6 KiB
Release history
10 releases with files
Median release cadence
15 days

hep-ml-lab dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dill <0.4.0,>=0.3.7
  2. numpy <2.0,>=1.22
  3. pandas ==2.0.3
  4. rich <14.0.0,>=13.4.2
  5. scikit-learn <2.0.0,>=1.2.2
  6. beautifulsoup4 <5.0.0,>=4.12.2
  7. pexpect <5.0.0,>=4.9.0
  8. awkward <3.0.0,>=2.5.1
  9. fastjet <4.0.0.0,>=3.4.1.3
  10. matplotlib <4.0.0,>=3.8.2
  11. vector <2.0.0,>=1.3.0
  12. numba <0.60.0,>=0.59.0
  13. keras >=3.0.0
  14. seaborn <0.14.0,>=0.13.2

Compatibility and release files

hep-ml-lab publishes 1 wheel and 1 source archive for version 0.4.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

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 .

1 historical release is fully yanked in PyPI metadata.