Factual package intelligence from PyPI

automar 26.6.22 package intelligence

Time series-based machine learning framework for stock market forecasting

pip install automar

Current version
26.6.22
Python requirement
>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
3.8 MiB
Release history
6 releases with files
Median release cadence
7 days

automar dependencies

PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. fastapi
  2. joblib
  3. lxml
  4. numba
  5. numpy
  6. optuna
  7. pandas
  8. pandas_market_calendars
  9. pyarrow
  10. pydantic >=2.8
  11. python-multipart
  12. requests
  13. scikit-learn
  14. scipy
  15. sktime
  16. tomli
  17. tomli_w
  18. tqdm
  19. uvicorn
  20. yfinance

The compact report shows 25 of 26 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

automar publishes 1 wheel and 1 source archive for version 26.6.22. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

5 historical releases are fully yanked in PyPI metadata.