Factual package intelligence from PyPI

modern-ml-pipeline 1.5.0 package intelligence

A modern, yaml-driven ML pipeline for multiple models.

pip install modern-ml-pipeline

Current version
1.5.0
Python requirement
<3.14,>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.0 MiB
Release history
49 releases with files
Median release cadence
0 days

modern-ml-pipeline dependencies

PyPI declares 72 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. category-encoders >=2.8.1
  2. httpx >=0.28.1
  3. jinja2
  4. mlflow <4,>=3
  5. optuna >=3.0.0
  6. packaging >=24.2
  7. pandas
  8. pyarrow
  9. pydantic >=2.0.0
  10. python-dotenv
  11. pyyaml
  12. rich >=14.0.0
  13. scikit-learn
  14. scipy >=1.10.0
  15. setuptools >=68
  16. sqlalchemy >=2.0.0
  17. typer
  18. xgboost >=1.7.0

The compact report shows 18 of 72 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

modern-ml-pipeline publishes 1 wheel and 1 source archive for version 1.5.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 49 releases with files. The first dated release is ; 49 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .