Factual package intelligence from PyPI

ak-sw-benchmarker 0.0.9 package intelligence

AK_SW_BENCHMARKER that makes it possible to apply different sizing algorithms and allometric yield prediction models to manually labeled color and depth tree images.

pip install ak-sw-benchmarker

Current version
0.0.9
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
232.4 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

ak-sw-benchmarker dependencies

PyPI declares 52 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pip ==23.2.1
  2. bleach ==6.0.0
  3. build ==0.10.0
  4. certifi ==2022.12.7
  5. charset-normalizer ==3.0.1
  6. colorama ==0.4.6
  7. contourpy ==1.1.0
  8. cycler ==0.11.0
  9. docutils ==0.19
  10. fonttools ==4.40.0
  11. idna ==3.4
  12. importlib-metadata ==6.0.0
  13. importlib-resources ==5.12.0
  14. jaraco.classes ==3.2.3
  15. joblib ==1.2.0
  16. keyring ==23.13.1
  17. kiwisolver ==1.4.4
  18. lxml ==4.9.2
  19. markdown-it-py ==2.2.0
  20. matplotlib ==3.7.2
  21. mdurl ==0.1.2
  22. more-itertools ==9.1.0
  23. numpy ==1.24.2
  24. opencv-python ==4.7.0.68
  25. packaging ==23.0

The compact report shows 25 of 52 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ak-sw-benchmarker publishes 1 wheel and 1 source archive for version 0.0.9. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .