Factual package intelligence from PyPI

ml-derivatives 0.0.2 package intelligence

A python module for computing high derivatives of noisy time-series

pip install ml-derivatives

Current version
0.0.2
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
34.7 MiB
Release history
2 releases with files
Median release cadence
0 days

ml-derivatives dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. joblib ==1.4.2
  2. numpy ==2.2.5
  3. pandas ==2.2.3
  4. python-dateutil ==2.9.0.post0
  5. pytz ==2025.2
  6. scikit-learn ==1.6.1
  7. scipy ==1.15.2
  8. six ==1.17.0
  9. threadpoolctl ==3.6.0
  10. tqdm ==4.67.1
  11. tzdata ==2025.2

Compatibility and release files

ml-derivatives publishes 1 wheel and 1 source archive for version 0.0.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 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.