Generative artist, sharing my journey in visual experiments.
Abstract paintingsGenerating SVGsBlend modes & ClipPathsRecursive TruchetGenerative SVG templateAnimating SVGsSVG templateGenerating SVGsGenerating SVGsGenerating SVGsSVG templateGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsGenerating SVGsSVG templateGenerating SVGsGenerating SVGsSVG templateGenerating SVGs
Generating SVGs
seed = Date.now()
noiseScale = 250
colorScale = scales.procScale([0.22, 0.55, 0.5], [0.36, 0.45, 0.41], [0.04, 0.73, 0.82], [0.46, 0.81, 0.24])
svg`<svg width="${w}" height="${h}">
<rect x="0" y="0" width="${w}" height="${h}" stroke="none" fill="black"></rect>
<g>
${(() => {
const points = new PoissonDiskSampling({
shape: [w, h],
minDistance: 5,
maxDistance: 15,
tries: 10
}).fill()
return points.map((d, i) => {
const pos = PVector(...d)
const noise = simplex.noise3D(pos.x/noiseScale, pos.y/noiseScale, seed)
return `<circle
cx="${pos.x}"
cy="${pos.y}"
r="${noise * 50 + 30}"
stroke="${colorScale(noise)}"
opacity="0.5"
fill="none"
/>`
}).join('\n')
})()}
</g>
</svg>`
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
