Factual package intelligence from PyPI

causalcompass 0.1.2 package intelligence

Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios

pip install causalcompass

Current version
0.1.2
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
488.3 KiB
Release history
3 releases with files
Median release cadence
0 days

causalcompass dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy ==1.26.4
  2. pandas ==1.5.3
  3. scipy ==1.15.3
  4. scikit-learn ==1.6.1
  5. statsmodels ==0.14.4
  6. networkx ==3.4.2
  7. matplotlib ==3.10.1
  8. tqdm ==4.67.1
  9. omegaconf ==2.3.0
  10. einops ==0.8.1
  11. dcor ==0.6
  12. torch ==2.7.0
  13. tensorboard ==2.20.0
  14. jax ==0.4.31
  15. jaxlib ==0.4.31
  16. jaxtyping ==0.3.2
  17. equinox ==0.10.11
  18. optax ==0.1.9
  19. chex ==0.1.90
  20. tigramite ==5.2.8.2
  21. lingam ==1.11.0
  22. benchmark-mi ==0.1.3
  23. igraph ==0.11.9

Compatibility and release files

causalcompass publishes 1 wheel and 1 source archive for version 0.1.2. 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 .