Factual package intelligence from PyPI

forecaster-toolkit 0.1.5 package intelligence

Python library for time series forecasting

pip install forecaster-toolkit

Current version
0.1.5
Python requirement
<3.14,>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
102.0 KiB
Release history
5 releases with files
Median release cadence
40 days

forecaster-toolkit dependencies

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

  1. statsforecast <3.0.0,>=2.0.0
  2. catboost >=1.2.7
  3. numpy <2.0,>=1.16.0
  4. scikit-learn <2.0.0,>=1.6.1
  5. pmdarima <3.0.0,>=2.0.4
  6. polars <2.0.0,>=1.22.0
  7. xgboost <3.0.0,>=2.1.4
  8. torch <3.0.0,>=2.6.0
  9. shap <0.47.0,>=0.46.0
  10. lime <0.3.0.0,>=0.2.0.1
  11. pymannkendall <2.0.0,>=1.4.3
  12. prophet <2.0.0,>=1.1.6
  13. sktime <0.38.0,>=0.37.0
  14. pytest <9.0.0,>=8.3.5
  15. neuralforecast <4.0.0,>=3.0.0

Compatibility and release files

forecaster-toolkit publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.

Declared Python classifiers: 3.12, 3.13.

Metadata completeness

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

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 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.