How do I pick colors for charts?

Generate a categorical palette where colors are evenly distinguishable; the tool offers colorblind-friendly options that stay distinct for most viewers.

How many colors should a chart use?

Keep categorical series to about 6–8 colors; beyond that, viewers can't reliably match legend to data. Group or use shades for more.

Are the palettes colorblind-friendly?

The colorblind-safe option chooses hues and lightness that remain distinguishable under common color vision deficiencies; pair with labels or patterns for safety.

Dataviz Palette Generator

OKLCH perceptually uniform · Color-blind friendly · For charts, dashboards and data reports

Color Count

Style

Starting Hue #4A7CF7

Categorical Palette

6 Colors · OKLCH Perceptually Uniform

Chart Preview

Color Blindness Simulation

Check palette distinguishability for users with color vision differences

About Data Visualization Colors

Generate chart palettes with sufficient perceptual separation and colorblind-friendly modes. Verified contrast for dashboards. Compatible with ECharts, D3.js, Tableau. Generated palettes are checked for perceptual separation automatically, so two chart series never end up visually indistinguishable.

Best used before building a dashboard or report — lock in a categorical palette upfront, and the colorblind-safe mode catches distinction problems before they reach viewers.

Common questions

How do I pick colors for charts? Generate a categorical palette where colors are evenly distinguishable; the tool offers colorblind-friendly options that stay distinct for most viewers.
How many colors should a chart use? Keep categorical series to about 6–8 colors; beyond that, viewers can't reliably match legend to data. Group or use shades for more.
Are the palettes colorblind-friendly? The colorblind-safe option chooses hues and lightness that remain distinguishable under common color vision deficiencies; pair with labels or patterns for safety.