iWantHue
medialab.github.ioGenerate distinct colours for categories in a data visualization.
Generate distinct colours for categories in a data visualization.
Sculpt, paint and arrange 3D forms on desktop or mobile
Map twelve-step colour scales to interface roles and light or dark themes.
Use one Python interface for several established colour-palette collections.
Compare text contrast with its size, weight and colour direction in view.
Creative and archival images searchable by keyword, colour or reference
SVG illustration collections with built-in editing tools
A school research resource with read-aloud articles on animals, science, people and social studies.
Natural-style drawing with a separate Pro toolset
Render product designs with CAD links, materials, lighting and animation
A reusable graphics collection with search and colour selection
Explore ink, water and drying behaviour in a focused brush canvas
Develop compact layered sketches with shape correction and textured brushes
Compose linear, radial or conic gradients and copy the CSS.
Balance colour distinction and visual preference for categorical charts.
Check colour pairs, sample an image and collect results for a PDF.
Customizable painting brushes, perspective aids and symmetry
Draw repeated motifs through planar, spherical and hyperbolic symmetry
Collect a palette with a magnifier and adjustable sampling area.
Linux editing with multicamera switching and colour scopes
A developed VirtualDub fork with more formats and deeper colour
Calibrate a display with a connected measurement device and software.
Windows raster drawing with layers, pen pressure and save previews
Choose map colours by data type and export reusable schemes.