Factual package intelligence from PyPI

causaldynamics 1.0.0 package intelligence

CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models

pip install causaldynamics

Current version
1.0.0
Python requirement
<3.11,>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
98.7 KiB
Release history
3 releases with files
Median release cadence
72 days

causaldynamics dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0
  2. dysts >=0.95
  3. numba <=0.61.0
  4. matplotlib >=3.10.1
  5. seaborn >=0.13.2
  6. jupyter >=1.1.1
  7. ipywidgets >=8.1.5
  8. jsonargparse >=4.38.0
  9. jax >=0.5.3
  10. black >=25.1.0
  11. xarray >=2023.10.0
  12. torch >=2.6.0
  13. joblib >=1.4.2
  14. scikit-learn >=1.6.1
  15. jaxtyping >=0.3.1
  16. statsmodels >=0.14.4
  17. einops >=0.8.1
  18. omegaconf >=2.3.0

The compact report shows 18 of 23 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

causaldynamics publishes 1 wheel and 0 source archives for version 1.0.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .