Factual package intelligence from PyPI

twiga 1.0.0 package intelligence

Point and probabilistic time series forecasting — one interface, every model.

pip install twiga

Current version
1.0.0
Python requirement
>=3.12
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.7 MiB
Release history
3 releases with files
Median release cadence
33 days

twiga dependencies

PyPI declares 93 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. antropy >=0.2.2
  2. astral >=3.2
  3. catboost >=1.2.10
  4. great-tables >=0.21.0
  5. hurst >=0.0.5
  6. lets-plot >=4.10.1
  7. lightgbm >=4.6.0
  8. ngboost >=0.5.9
  9. numpy >=2.4.4
  10. optuna-integration >=4.8.0
  11. optuna >=4.8.0
  12. pandas >=2.3.3
  13. pyarrow >=23.0.0
  14. pydantic >=2.13.0
  15. quantile-forest >=1.4.1
  16. rich >=15.0.0
  17. scikit-learn >=1.8.0
  18. statsmodels >=0.14.6
  19. streamlit >=1.58.0
  20. tqdm >=4.67.3
  21. xgboost >=3.2.0

The compact report shows 25 of 93 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

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

Declared Python classifiers: 3.12, 3.13.

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 .