Factual package intelligence from PyPI

mickelonius 0.1.0 package intelligence

ML toolkit for end-to-end pipelines

pip install mickelonius

Current version
0.1.0
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
70.4 KiB
Release history
4 releases with files
Median release cadence
6 days

mickelonius dependencies

PyPI declares 42 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0,>=1.26
  2. scikit-learn <2.0,>=1.3
  3. pandas <3.0,>=2.1
  4. arch <8.0.0
  5. matplotlib <4.0.0
  6. dask
  7. pyspark ==3.5.4
  8. polars <2.0.0
  9. xgboost <3.0.0
  10. statsmodels <1.0.0

The compact report shows 25 of 42 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mickelonius publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 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.