Factual package intelligence from PyPI

helix-ai 1.2.0 package intelligence

PyPI does not currently provide a summary for helix-ai.

pip install helix-ai

Current version
1.2.0
Python requirement
<3.13,>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.6 MiB
Release history
8 releases with files
Median release cadence
50 days

helix-ai dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. lime ==0.2.0.1
  2. matplotlib ==3.8.2
  3. numpy ==1.26.4
  4. openpyxl >=3.1.5
  5. pandas ==2.2.2
  6. scikit-fuzzy ==0.5.0
  7. scikit-learn ==1.5.2
  8. seaborn ==0.13.2
  9. shap ==0.45.0
  10. streamlit-aggrid <2.0.0,>=1.1.0
  11. streamlit ==1.36
  12. torch <3.0.0,>=2.5.1 when sys_platform != "darwin" or platform_machine != "x86_64"
  13. torch ==2.2.0 when sys_platform == "darwin" and platform_machine == "x86_64"
  14. tqdm ==4.66.2
  15. xgboost ==2.1.0

Compatibility and release files

helix-ai publishes 1 wheel and 1 source archive for version 1.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: meaningful summary, license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 8 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.