Factual package intelligence from PyPI

dquant 1.2.4 package intelligence

DQuant is an open-source Python library for automated volatility forecasting of financial time series. It handles all stages of model construction, from raw prices to the final forecast.

pip install dquant

Current version
1.2.4
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
44.7 KiB
Release history
17 releases with files
Median release cadence
2 days

dquant dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cycler >=0.11.0
  2. joblib >=1.2.0
  3. lightgbm >=3.3.0
  4. matplotlib >=3.5.0
  5. numpy >=1.21.0
  6. onnx >=1.14.0
  7. onnxruntime >=1.15.0
  8. pandas >=1.5.0
  9. scikit-learn >=1.2.0
  10. skl2onnx >=1.14.0
  11. xgboost >=1.7.0
  12. onnxconverter-common >=1.9.0
  13. onnxmltools >=1.11.0

Compatibility and release files

dquant publishes 1 wheel and 1 source archive for version 1.2.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 17 releases with files. The first dated release is ; 17 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .