amandaghassaei/gpu-io

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1482 stars · 58 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

gpu-io is a TypeScript WebGL library for composing GPU-accelerated computing workflows in the browser. It handles WebGL state management, shader caching, and cross-browser compatibility so developers can run physics simulations, particle systems, and general GPGPU computations with minimal boilerplate.

Use cases

• run real-time fluid simulations in the browser
• simulate reaction-diffusion patterns on the GPU
• build particle or agent-based simulations like Physarum networks
• implement cellular automata like Conway's Game of Life
• do GPU-accelerated image processing in WebGL
• solve the wave equation and render results with Three.js
• run general purpose GPU computations without writing raw WebGL boilerplate

When to choose

• you need GPU-parallel simulations or computations running in a web browser
• you want WebGL1/WebGL2 fallbacks and cross-browser polyfills handled for you
• you want to pass GPU computation results directly to Three.js without reading back to CPU
• you need to render simulation output directly to a WebGL canvas with interactivity

When to avoid

• you need WebGPU features today (support is only planned)
• you are doing general-purpose GPU computing outside the browser
• you need a full physics engine with rigid bodies and collisions rather than shader-based simulation
• your project requires long-term maintenance guarantees given the small single-maintainer project

Facets

library · maturity active

simulation graphics image-processing gpu-computing simulation graphics web-development browser cross-platform webgl gpgpu glsl shaders physics-simulation particles threejs cellular-automata fluid-simulation game-development web-server

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