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Since October 1, 2024, this version is no longer actively maintained and will not be updated.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.

Labels Control

napari-labels

Adding intuitive label color management, allowing custom class colors, per-class opacity, and colormap control to enhance visual clarity.

A plugin for flexible and intuitive color management of label layers in Napari, designed to enhance the visual clarity and control of your labeled data. Assign custom colors to individual classes using a color picker or RGB input, adjust per-class opacity, and apply colormaps to visually distinguish between labels with ease.

Installation

You can install napari-labels via pip:

pip install napari-labels

Seaborn Color palettes

You can use all color palette names which are valid for seaborn.color_palette(). An overview can be found here:

License

Distributed under the terms of the Apache Software License 2.0 license, "napari-labels" is free and open source software

Acknowledgments

    

This repository is developed and maintained by the Applied Computer Vision Lab (ACVL) of Helmholtz Imaging and the Division of Medical Image Computing at DKFZ.

This napari plugin was generated with copier using the napari-plugin-template.

Version:

  • 0.0.4

Last updated:

  • 28 March 2025

First released:

  • 26 March 2025

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

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

Python versions supported:

Operating system:

Requirements:

  • numpy
  • qtpy
  • napari_toolkit
  • seaborn