Factual package intelligence from PyPI

logit-graph 0.2.0 package intelligence

Logistic Random Graph (LG) model: generation, leave-one-out estimation, and spectral GIC comparison

pip install logit-graph

Current version
0.2.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
193.1 KiB
Release history
5 releases with files
Median release cadence
18 days

logit-graph dependencies

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

  1. networkx >=3.0
  2. numpy >=1.23
  3. scipy >=1.10
  4. pandas >=2.0
  5. statsmodels >=0.14
  6. ipython >=8
  7. seaborn
  8. pyvis
  9. imageio
  10. marimo
  11. ipywidgets >=8
  12. ipykernel
  13. scikit-learn >=1.6.1
  14. matplotlib >=3.9.4
  15. imageio >=2.37.2
  16. pyvis >=0.3.2
  17. seaborn >=0.13.2
  18. powerlaw >=1.5.2
  19. tqdm >=4.66
  20. numba >=0.59
  21. umap-learn >=0.5.11
  22. pytest >=8.4.2

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

Compatibility and release files

logit-graph publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Release activity and sources

PyPI lists 5 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 .