Factual package intelligence from PyPI

energicast 1.0.0 package intelligence

Domain-specific AutoML library for energy forecasting with physics–ML hybrids and synthetic gap filling

pip install energicast

Current version
1.0.0
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
58.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

energicast dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.0
  2. numpy >=1.23
  3. scikit-learn >=1.3
  4. xgboost >=1.7
  5. statsforecast >=1.7.3
  6. pydantic >=2.6
  7. typer >=0.12
  8. rich >=13.7
  9. pvlib >=0.10
  10. pyarrow >=14
  11. pyyaml >=6
  12. optuna >=3.4

The compact report shows 12 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

energicast publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .