Factual package intelligence from PyPI

photonai 2.5.2 package intelligence

PHOTONAI is a high level python API for designing and optimizing machine learning pipelines.

pip install photonai

Current version
2.5.2
Python requirement
Not declared
License
GPLv3
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.0 MiB
Release history
10 releases with files
Median release cadence
220 days

photonai dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. matplotlib
  3. scikit-learn ==1.5.2
  4. pandas
  5. plotly
  6. imbalanced-learn ==0.12.4
  7. pymodm
  8. scipy
  9. statsmodels
  10. prettytable
  11. seaborn
  12. joblib
  13. dask >=2021.10.0
  14. distributed
  15. scikit-optimize
  16. xlrd
  17. pbr

Compatibility and release files

photonai publishes 1 wheel and 1 source archive for version 2.5.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 10 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 .