Factual package intelligence from PyPI

ForeTiS 0.0.7 package intelligence

state-of-the-art and easy-to-use time series forecasting

pip install foretis

Current version
0.0.7
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
152.6 KiB
Release history
8 releases with files
Median release cadence
30 days

ForeTiS dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.11.0
  2. xgboost >=1.5.2
  3. optuna >=2.10.0
  4. sqlalchemy ==1.4.46
  5. joblib >=1.1.0
  6. numpy >=1.22.2
  7. pandas >=1.4.1
  8. scikit-learn >=1.0.2
  9. tensorflow >=2.8.0
  10. tensorflow-probability >=0.18
  11. statsmodels >=0.13.2
  12. scipy >=1.8.1
  13. pmdarima >=2.0.1
  14. gpflow >=2.5.2
  15. matplotlib >=3.3.0
  16. changefinder >=0.3
  17. bayesian_torch
  18. blitz-bayesian-pytorch
  19. tables >=3.7.0

Compatibility and release files

ForeTiS publishes 1 wheel and 1 source archive for version 0.0.7. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 8 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 .