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Data visualization
------------------
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.
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