Generative artist, sharing my journey in visual experiments.
pixelSpiritify(`vec4 render(vec2 st) {
return vec4(0.0, 0.0, 0.0, 1.0);
}`)
pixelSpiritify(`vec4 render(vec2 st) {
float color = 0.0;
color += step(0.5, st.x);
return vec4(vec3(color), 1.0);
}`)
pixelSpiritify(`#ifndef PI
#define PI 3.1415926535897932384626433832795
#endif
vec4 render(vec2 st) {
float color = 0.0;
color += smoothstep(0.495 + cos(st.y * PI) * 0.25, 0.505 + cos(st.y * PI) * 0.25, st.x);
return vec4(vec3(color), 1.0);
}`)
pixelSpiritify(`vec4 render(vec2 st) {
float color = 0.0;
color += step(0.5, (st.x + st.y) * 0.5);
return vec4(vec3(color), 1.0);
}`)
pixelSpiritify(`vec4 render(vec2 st) {
float color = 0.0;
color += stroke(st.x, 0.5, 0.15);
return vec4(vec3(color), 1.0);
}`)
pixelSpiritify(`
#ifndef PI
#define PI 3.1415926535897932384626433832795
#endif
vec4 render(vec2 st) {
float color = 0.0;
float offset = cos(st.y * PI) * 0.15;
color += smoothstroke(st.x, 0.28 + offset, 0.1, 0.005);
color += smoothstroke(st.x, 0.5 + offset, 0.1, 0.005);
color += smoothstroke(st.x, 0.72 + offset, 0.1, 0.005);
return vec4(vec3(color), 1.0);
}`)
pixelSpiritify(`vec4 render(vec2 st) {
float color = 0.0;
float sdf = 0.5 + (st.x - st.y) * 0.5;
color += stroke(sdf, 0.5, 0.1);
return vec4(vec3(color), 1.0);
}`)
pixelSpiritify(`vec4 render(vec2 st) {
float color = 0.0;
float sdf = 0.5 + (st.x - st.y) * 0.5;
color += stroke(sdf, 0.5, 0.1);
float sdf_inv = (st.x + st.y) * 0.5;
color += stroke(sdf_inv, 0.5, 0.1);
return vec4(vec3(color), 1.0);
}`)
pixelSpiritify(`vec4 render(vec2 st) {
float color = 0.0;
color += smoothstroke(circleSDF(st), 0.5, 0.05, 0.005);
return vec4(vec3(color), 1.0);
}`)
pixelSpiritify(`vec4 render(vec2 st) {
float color = 0.0;
color += smoothfill(circleSDF(st), 0.65, 0.01);
vec2 offset = vec2(0.1, 0.05);
color -= smoothfill(circleSDF(st - offset), 0.5, 0.01);
return vec4(vec3(color), 1.0);
}`)
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.