cmocean
matplotlib.orgChoose scientific colour maps to match the structure of your data.
Choose scientific colour maps to match the structure of your data.
Share colour configurations and transforms across visual production tools.
Scientific expressions with variables and numerical calculus
See curated palettes applied to page elements and copy their hex codes.
Adjust CSS colour pairs and inspect their changing contrast ratio.
Browse compact four-colour combinations with visible hex values
See how a colour pair performs for different text sizes.
High-precision numerical expressions with custom functions
Map fields and transformation functions between data formats
CC0 photography with subject and colour browsing
Five-colour palettes drawn from named paintings and their artists
Convert colours between spaces and control their CSS output.
Find replacement colours that meet a chosen contrast target.
Compare mathematical curves with a shared time parameter
Choose a starting colour and explore a related scheme.
Preview colour-vision differences through a screen filter or phone camera.
Balance shots, refine a reference match and return the grade to your edit.
Start with a camera profile, then adjust film colour and grain.
Set measured colour targets and recalibration for supported ColorEdge monitors.
Build palettes, gradients and light or dark interface themes.
Sample and translate colour values in a portable desktop application.
Build a JavaScript colour picker from modular interface controls.
Choose scientific colour maps and inspect or adapt them in Python.
Use continuous and categorical colour maps in Python visualizations.