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Use versioned colour scales designed for accurate data communication.

Build interface colour scales with shade curves and contrast targets.

Convert colours and generate data scales through a JavaScript API.

Generate interface themes from target contrast ratios and colour scales.

Generate scientific colour scales with a controlled path from black to white.

Connect browser colour picking with shareable palettes and scales.

Map twelve-step colour scales to interface roles and light or dark themes.

Build colour scales around shared lightness levels and contrast checks.

Shape multi-step colour scales with curves, locked colours and code exports.

Choose scientific colour maps to match the structure of your data.

Manipulate common colour representations with a small Python interface.

Read colour-coded charts with pixel names, highlighting and filtered views.

Use colour schemes and colour-space operations in D3 projects.

Parse flexible colour input and generate conversions, adjustments and harmonies.

Extract image colours and document their roles in a shareable brand guide.

Inspect a colour, compare approximate matches and build a gradient.

Connect physical colour references with digital palettes and design files.

Use NCS notations and tools to communicate colour choices.

Design and assess palettes using hue, chroma and luminance.

Convert and interpolate colours through an extensible Python object.

Reshape colour relationships on a grid and export reusable LUTs.

Collect screen colours and hand palettes to Mac design tools.

Build an eleven-step scale and export variables for a web project.

Calculate colour from spectral samples and compare the results in Python.