Factual package intelligence from PyPI

getitune 0.1.3 package intelligence

getitune: Train, Evaluate, Optimize, Deploy Computer Vision Models

pip install getitune

Current version
0.1.3
Python requirement
<3.15,>=3.11
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.9 MiB
Release history
2 releases with files
Median release cadence
5 days

getitune dependencies

PyPI declares 50 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. datumaro ~=1.13.1
  2. omegaconf ==2.3.0
  3. rich ==14.0.0
  4. jsonargparse ==4.35.0
  5. ftfy ==6.3.1
  6. regex ==2026.1.15
  7. importlib_resources ==6.5.2
  8. docstring_parser ==0.16
  9. rich_argparse ==1.7.0
  10. einops ==0.8.1
  11. typeguard <4.5,>=4.3
  12. lightning ==2.6.0
  13. torchmetrics ==1.8.2
  14. pytorchcv ==0.0.74
  15. timm ==1.0.3
  16. openvino ~=2026.2.0
  17. openvino-model-api ==0.4.3
  18. onnx ==1.21.0
  19. onnxruntime ==1.26.0
  20. onnxscript ==0.6.2
  21. nncf ~=3.0
  22. numpy >=2.0
  23. pyyaml ==6.0.3
  24. tensorboard ==2.20.0
  25. tensorboardx ==2.6.4

The compact report shows 25 of 50 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

getitune publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.

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 .