Factual package intelligence from PyPI

blocktorch 1.33.2 package intelligence

Blocktorch is a library that builds, optimizes, and evaluates machine learning pipelines

pip install blocktorch

Current version
1.33.2
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
6.4 MiB
Release history
2 releases with files
Median release cadence
0 days

blocktorch dependencies

PyPI declares 39 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20.0
  2. numba ==0.53
  3. pandas >=1.2.5
  4. scipy >=1.5.0
  5. scikit-learn >=0.24.0
  6. scikit-optimize >=0.8.1
  7. pyzmq >=20.0.0
  8. colorama >=0.4.4
  9. cloudpickle >=1.6.0
  10. click >=7.1.2
  11. psutil >=5.6.6
  12. requirements-parser >=0.2.0
  13. shap >=0.36.0
  14. texttable >=1.6.2
  15. woodwork <=0.8.1,>=0.6.0
  16. dask ==2021.7.0
  17. optuna ==2.3.0
  18. dask-optuna
  19. dask-ml
  20. featuretools >=0.26.1
  21. nlp-primitives >=1.1.0
  22. networkx <2.6,>=2.5
  23. plotly >=5.0.0
  24. kaleido >=0.1.0
  25. ipywidgets >=7.5

The compact report shows 25 of 39 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

blocktorch publishes 1 wheel and 0 source archives for version 1.33.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .