napari is a fast, interactive, multi-dimensional image
viewer for Python. It’s designed for browsing, annotating, and analyzing large
multi-dimensional images. It’s built on top of Qt (for the GUI), vispy (for
performant GPU-based rendering), and the scientific Python stack (numpy,
scipy). It includes critical viewer features out-of-the-box, such as support
for large multi-dimensional data, and layering and annotation. By integrating
closely with the Python ecosystem, napari can be easily coupled to leading
machine learning and image analysis tools (e.g. scikit-image, scikit-learn,
TensorFlow, PyTorch), enabling more user-friendly automated analysis.
napari-imagej
A plugin called napari-imagej enables use of ImageJ and ImageJ2 commands from the napari interface. Like other ImageJ2 Python integrations (e.g. CellProfiler), the napari-imagej plugin is built on PyImageJ.
For further details, see the napari-imagej website at:
