Call the 'DeOldify' <https://github.com/jantic/DeOldify> image
    colorization API on 'DeepAI'<https://deepai.org/machine-learning-model/colorizer>
    to colorize black and white images.

Allows to generate colors from palettes defined in the colormap module of 'Node.js'. (see <https://github.com/bpostlethwaite/colormap> for more information). In total it provides 44 distinct palettes made from sequential and/or diverging colors. In addition to the pre defined palettes you can also specify your own set of colors. There are also scale functions that can be used with 'ggplot2'.

A tool for transforming coordinates in a color space to common
    color names using data from the Royal Horticultural Society and the
    International Union for the Protection of New Varieties of Plants.

A simple set of classes and methods for mapping between scalar intensity values and colors. There is also support for layering maps on top of one another using alpha composition.

Color palettes for EPL, MLB, NBA, NHL, and NFL teams.

A color mapping is generated according to the break values and corresponding colors.
    Other colors are generated by interpolating in a certain color space. The functions were part
    of the 'circlize' package <https://CRAN.R-project.org/package=circlize>.

Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.

Generate multivariate color palettes to represent two-dimensional or three-dimensional data in graphics (in contrast to standard color palettes that represent just one variable). You tell 'colors3d' how to map color space onto your data, and it gives you a color for each data point. You can then use these colors to make plots in base 'R', 'ggplot2', or other graphics frameworks.