Deterministic WebGL Gradient Animations
Tiny WebGL library for
Procedural Gradient Animations
Deterministic - Seed-driven
Usage
npm install gradient-gl
import gradientGL from 'gradient-gl'
gradientGL('a2.eba9')
gradientGL('a2.eba9', '#app')
const program = await gradientGL('a2.eba9')
Vite Configuration
export default {
build: {
target: 'esnext',
},
}
CDN
Unpkg
<script type="module">
import gradientGL from 'https://unpkg.com/gradient-gl'
gradientGL('a2.eba9')
</script>
ESM
<script type="module">
import gradientGL from 'https://esm.sh/gradient-gl'
gradientGL('a2.eba9')
</script>
<script src=xxx@latest/seed/a2.eba9"></script>
Seed Format
{shader}.{speed}{hue}{sat}{light}
- Shader:
[a-z][0-9]
(e.g., a2
)
- Options:
[0-9a-f]
(hex values)
Explore and generate seeds in the playground
Performance
Animated Gradient Background Techniques
(Slowest → Fastest)
SVG
– CPU-only, DOM-heavy, poor scaling, high memory usage
Canvas 2D
– CPU-only, main-thread load, imperative updates
CSS
– GPU-composited, limited complexity, best for static
WebGL
– GPU-accelerated, shader-driven, optimal balance
WebGPU
– GPU-native, most powerful, limited browser support
[!NOTE]
While WebGPU is technically the fastest, WebGL remains the best choice for animated gradients due to its maturity, broad support, and optimal performance/complexity ratio.
TODO: Interactive benchmark app
License
MIT