Factual package intelligence from PyPI

napari-vascilia 1.4.0 package intelligence

A plugin for deep learning-based 3D analysis of cochlear hair cell stereocilia bundles.

pip install napari-vascilia

Current version
1.4.0
Python requirement
Not declared
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
158.1 KiB
Release history
4 releases with files
Median release cadence
117 days

napari-vascilia dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy ==1.26.4
  2. scikit-learn ==1.3.2
  3. opencv-python
  4. matplotlib
  5. imagecodecs
  6. tifffile
  7. napari
  8. readlif
  9. czitools ==0.4.1
  10. npe2
  11. colormap ==1.1.0
  12. segmentation-models-pytorch ==0.3.3
  13. pretrainedmodels ==0.7.4

Compatibility and release files

napari-vascilia publishes 1 wheel and 1 source archive for version 1.4.0. 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 4 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .