Factual package intelligence from PyPI

aiqc 7.1.5 package intelligence

End-to-end machine learning on your desktop or server.

pip install aiqc

Current version
7.1.5
Python requirement
>=3.5, <=3.8.12
License
BSD 3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.2 MiB
Release history
32 releases with files
Median release cadence
7 days

aiqc dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tensorflow ==2.7.0
  2. Keras ==2.7.0
  3. h5py ==3.6.0
  4. torch ==1.8.1
  5. torchmetrics ==0.8.2
  6. peewee ==3.14.3
  7. scikit-learn ==0.24.1
  8. numpy ==1.19.5
  9. pandas >=1.1.0
  10. Pillow ==8.1.2
  11. pyarrow ==3.0.0
  12. fastparquet ==0.7.1
  13. plotly ==5.3.1
  14. appdirs ==1.4.4
  15. natsort ==7.1.1
  16. tqdm ==4.59.0
  17. validators ==0.18.2
  18. dill ==0.3.3

The compact report shows 18 of 23 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

aiqc publishes 1 wheel and 1 source archive for version 7.1.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 32 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

19 historical releases are fully yanked in PyPI metadata.