doc/source/user_guide/visualization.rst
Data visualization takes an important place in image processing. Data can be a single 2D grayscale image or a more complex one with multidimensional aspects: 3D in space, timelapse, multiple channels.
Therefore, the visualization strategy will depend on the data complexity and a range of tools external to scikit-image can be used for this purpose. Historically, scikit-image provided viewer tools but powerful packages are now available and must be preferred.
Matplotlib ^^^^^^^^^^
Matplotlib <https://matplotlib.org/>__ is a library able to generate static
plots, which includes image visualization.
Plotly ^^^^^^
Plotly <https://dash.plotly.com/>__ is a plotting library relying on web
technologies with interaction capabilities.
Mayavi ^^^^^^
Mayavi <https://docs.enthought.com/mayavi/mayavi/>__ can be used to visualize
3D images.
Napari ^^^^^^
Napari <https://napari.org/>__ is a multi-dimensional image viewer. It’s
designed for browsing, annotating, and analyzing large multi-dimensional images.