Factual package intelligence from PyPI

napari-signal-classifier 0.0.1 package intelligence

A napari plugin that classifies annotated signals stored in a table in the .features of a Labels layer using scikit-learn RandomForest classifier.

pip install napari-signal-classifier

Current version
0.0.1
Python requirement
>=3.10
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
5.2 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

napari-signal-classifier dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. magicgui
  3. qtpy
  4. scikit-learn
  5. nap-plot-tools >=0.1.2
  6. scipy
  7. pandas
  8. dask
  9. tsfresh
  10. dtaidistance
  11. napari-signal-selector >=0.0.6
  12. cmap

The compact report shows 12 of 19 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

napari-signal-classifier publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

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 .