Factual package intelligence from PyPI

expAscribe 1.2.9 package intelligence

ExpAscribe: a causal inference framework for quantitative experiment ascription and its derivative process. Documentation: https://seabirdshore.github.io/EAdocs/

pip install expascribe

Current version
1.2.9
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
39.4 KiB
Release history
26 releases with files
Median release cadence
0 days

expAscribe dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. causal-learn ==0.1.3.8
  2. dagma ==1.1.1
  3. dowhy ==0.11.1
  4. networkx >=3.2.1
  5. bayesian-optimization ==1.4.2
  6. scikit-learn >=1.5.1
  7. scipy >=1.11.4
  8. statsmodels >=0.14.2
  9. matplotlib >=3.7.0
  10. numpy <1.26.4,>=1.23.0
  11. pandas >=1.5.3

Compatibility and release files

expAscribe publishes 1 wheel and 1 source archive for version 1.2.9. 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 26 releases with files. The first dated release is ; 26 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.