Colorgorical
vrl.cs.brown.eduBalance colour distinction and visual preference for categorical charts.
Balance colour distinction and visual preference for categorical charts.
Use continuous and categorical colour maps in Python visualizations.
Generate a configurable set of separated category colours.
Generate distinct colours for categories in a data visualization.
Browse shared palettes, gradients and image-based colour inspiration.
Collect screen or camera colours into palettes for design-file exports
Explore photograph-based palettes with copyable hex colours and related combinations.
Five-colour palettes drawn from named paintings and their artists
Design and assess palettes using hue, chroma and luminance.
Choose map colours by data type and export reusable schemes.
Use colour schemes and colour-space operations in D3 projects.
Connect physical colour references with digital palettes and design files.
Find a shared palette, generate one from words or scan an image.
Choose geoscience colormaps with numerical tables and import instructions.
Find limited palettes and move their colours into a pixel-art editor.
Extract image palettes with sampling, crop and colour-space controls.
Named gradient references with colour values and a companion Chrome tool
Build palettes from community choices and carry their credits into exports.
Collect a palette with a magnifier and adjustable sampling area.
Use versioned colour scales designed for accurate data communication.
Pick screen colours, adjust their values and keep small Windows palettes.
Build palettes, gradients and light or dark interface themes.
Convert colour values and collect palettes for design or code.