Factual package intelligence from PyPI

bluemist 0.1.3 package intelligence

Bluemist AI is a low code machine learning library written in Python to develop, evaluate and deploy automated ML pipleines.

pip install bluemist

Current version
0.1.3
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
118.3 KiB
Release history
3 releases with files
Median release cadence
120 days

bluemist dependencies

PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. fastapi ==0.97.0
  2. ipython ==8.12.0
  3. ipywidgets ==8.0.4
  4. Jinja2 ==3.1.2
  5. joblib ==1.1.1
  6. mlflow ==2.3.2
  7. nest-asyncio ==1.5.6
  8. numpy ==1.23.5
  9. pandas ==1.5.2
  10. py-cpuinfo ~=8.0.0
  11. pydantic ==1.10.2
  12. pyngrok ==6.0.0
  13. scikit-learn ==1.2.2
  14. scikit-learn-intelex ==2023.1.1
  15. setuptools ==67.8.0
  16. termcolor ==2.3.0
  17. tqdm ==4.66.1
  18. uvicorn ==0.16.0

The compact report shows 18 of 28 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

bluemist publishes 1 wheel and 1 source archive for version 0.1.3. 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 .