The napari hub is transitioning to a community-run implementation due to launch in June 2025.
Since October 1, 2024, this version is no longer actively maintained and will not be updated. New plugins and plugin updates will continue to be listed.

Napari Feature Visualization

napari-feature-visualization

Visualizing feature measurements on label images in napari

Workflow step:
Image annotation

License BSD-3 PyPI Python Version tests codecov napari hub

Visualizing feature measurements on label images in napari

feature_vis_demo

Supports both loading features from a CSV file or visualizing features saved in the label_layer.features dataframe. Through plugins like the napari OME-Zarr navigator, this enables visualizing feature measurements stored in OME-Zarrs.


This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

Installation

You can install napari-feature-visualization via pip:

pip install napari-feature-visualization

To install latest development version :

pip install git+https://github.com/fractal-napari-plugins-collection/napari-feature-visualization.git

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the BSD-3 license, "napari-feature-visualization" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Version:

  • 0.0.1

Last updated:

  • 25 July 2024

First released:

  • 25 July 2024

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

  • Stars: 4
  • Forks: 0
  • Issues + PRs: 2

Python versions supported:

Operating system:

Requirements:

  • numpy<2.0
  • magicgui
  • qtpy
  • scikit-image
  • matplotlib
  • pandas
  • packaging