Stimulating Callicarpa
Stimulating Callicarpa (#CE78DF) is a true violet with a cool character. It leans cool, sitting on the blue, green, and violet side of the wheel. Quiet and dependable, a fit for product UI and data visualization. Its HSL profile (290°, 62%, 67%) places it in the balanced band at a mid lightness. It works across type, buttons, and borders, saturated enough to feel deliberate but balanced enough to not fight the rest of the palette. For a confident two-color system, pair it with its complementary green. For something softer, pull in its analogous neighbors on either side of the wheel.
Etymology
Latin stimulāns, spurring on — present-participle of stimulate, derived from stimulus (a goad). As a color modifier, stimulating implies a saturated-and-arousing-and-attentive quality where the hue increases visual-and-cognitive engagement. Sits at the bright-and-active end of the grid, parallel to invigorating and bracing in usage.
Asian beautyberry (Callicarpa dichotoma) — a deciduous shrub with axial clusters of brilliant deep-violet drupes ripening in autumn and persisting into winter on bare stems. Callicarpa color refers to a fully ripened Callicarpa dichotoma axial drupe-cluster: a saturated, slightly cool deep violet with the matte finish of anthocyanin-rich four-celled drupes. The genus name comes from the Greek kalós (beautiful) and karpós (fruit).
Closest matches
The nearest named color in three reference sources, ranked by perceptual distance (ΔE76 in CIELAB). ΔE < 1 is imperceptible to most viewers; ΔE > 10 is clearly different. When two sources point to the same hex they’re merged into one tile; click any to open that color’s page.
Variations
Click any swatch to exploreHarmonies
Accessibility
How this color appears to viewers with the four major color-vision-deficiency types. Computed via the Machado (2009) physiologically-based model. If a tile matches the original, the color reads the same to that viewer.
The color used as foreground text against pure white and pure black, with the contrast ratio and WCAG 2.1 grade. Aim for AA (4.5:1) for body text and AA Large (3:1) for 18 pt+ headlines; AAA (7:1) is the gold standard for long-form reading surfaces.