Factual package intelligence from PyPI

ct-segmentation-toolkit 0.2.0 package intelligence

Supervised (U-Net), unsupervised (Otsu/k-means/GMM), and label-free spectral-spatial (SOM) segmentation of scientific image stacks.

pip install ct-segmentation-toolkit

Current version
0.2.0
Python requirement
>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
95.3 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

ct-segmentation-toolkit dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24
  2. scipy >=1.10
  3. scikit-learn >=1.3
  4. scikit-image >=0.21
  5. tifffile >=2023.1
  6. minisom >=2.3
  7. tqdm >=4.65
  8. Pillow >=9.0
  9. matplotlib >=3.7
  10. torch >=2.0

The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ct-segmentation-toolkit publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for ct-segmentation-toolkit 0.2.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 .