Generative artist, sharing my journey in visual experiments.
Genuary 2023 #1: Perfect LoopHomage to De StijlGenerative Loop templateHexgridsNoisy Blob Point CloudXOR HexgridRecursive Grid, Clipping and NoiseAnimating Planet-Fbnb utility exampleAnimated stripes gifs from scalar fieldsSquare noiseEndless tunnelUntitledAnimated Blobby CirclesHypnoloopDancing AlienAnimated Paper WavesAbstract Mecha, animated versionThis is only platonicRubick's cube, but easier :)XORBouncing BoxesStraight lines in a polar worldBNB x ShadersA wild Torus appearedSpinning CubesWavy HexagonCurvy LinesHello bnbMulti-scale Truchet patternsUntitledFurry Ballnoisy grid
Growing Spaces, the animated version
w = params.w || 540
h = params.w || w
prngSeed = params.prngSeed || Date.now()
simplexSeed = params.simplexSeed || Date.now()
p = params.p || getRandomPalette()
palette = params.palette || shuffle(p)
// palette = ["#625772", "#a9eee6", "#fefaec", "#f38181"]
render = bnb({
w, h,
numFrames: 120,
fps: 10,
record: true,
video: true,
// shutterAngle: 0.1,
// samplesPerFrame: 16,
// chromaticAberration: 0.3,
setup: (s, g) => {
const prng = new PRNG(prngSeed)
g.center = s.createVector(prng.rand(s.width), prng.rand(s.height))
g.n = 300
g.scale = 2
g.noiseRadius = 0.3
g.nCircles = 90
g.dashes = array(100).map((d, i, arr) => array(200).map(j => j % 2 === 1 ? prng.rand(5, i - 1) : random() > i/arr.length ? prng.rand(200) : prng.rand(3, 9)))
g.offset = array(100).map(i => random(TAU * 2))
g.c = array(100).map(i => prng.rand(1, palette.length - 1))
},
draw: (s, t, g) => {
t = ease(t, 1.1)
const cosT = s.cos(t * TAU) * g.noiseRadius
const sinT = s.sin(t * TAU) * g.noiseRadius
s.drawingContext.globalAlpha = 1
s.background(palette[0])
s.drawingContext.globalAlpha = .8
s.noFill()
// s.strokeCap(s.SQUARE)
for(let j = 0; j < g.nCircles; j++) {
s.drawingContext.setLineDash(g.dashes[j])
s.stroke(palette[g.c[j]])
s.strokeWeight(map(j, 20, g.nCircles, 2, 8, true))
s.beginShape()
for(let i = 0; i <= g.n; i ++) {
const angle = TAU / g.n * i + g.offset[j] + t * TAU
const x = s.cos(angle)
const y = s.sin(angle)
const v = s.createVector(x, y)
const noise = simplex.noise4D(x / g.scale, y / g.scale, cosT, sinT) / 2 + .5
v.mult(20 + j * 1)
v.mult(1 + noise * s.map(j, 0, 20, 0, 2))
v.add(g.center.x, g.center.y)
s.vertex(v.x, v.y)
}
s.endShape()
}
}
})
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.