  The Python colorspace package provides a toolbox for mapping between
different color spaces which can then be used to generate a wide range of
perceptually-based color palettes for qualitative or quantitative (sequential
or diverging) information. These palettes (as well as any other sets of colors)
can be visualized, assessed, and manipulated in various ways, e.g., by color
swatches, emulating the effects of color vision deficiencies, or depicting the
perceptual properties. Finally, the color palettes generated by the package can
be easily integrated into standard visualization workflows in Python, e.g.,
using matplotlib, seaborn, or plotly.
