GPU.js vs PixiJS
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A JavaScript library that runs simple math functions on your GPU, with a CPU fallback.
Open source · MIT
A JavaScript library for fast 2D graphics, animation and interactive content in the browser.
The short answer
Choose GPU.js if you need…
- Developers who need to speed up large numeric computations in the browser
- Developers working with matrix or array math in JavaScript
- Students learning GPU-style parallel computing through JavaScript
- Projects that want a GPU path with an automatic CPU fallback
Choose PixiJS if you need…
- Web developers building interactive 2D graphics or animations
- Developers making browser-based 2D games
- Teams that need sprite, text, masking and filter effects on the web
- Developers who want a library with a large community and active releases
Side-by-side
| GPU.js | PixiJS | |
|---|---|---|
| Type | Library | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 15.5k | 48.6k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | JavaScript | TypeScript |
| Last code update | 6 days ago | 6 days ago |
What each one is
GPU.js
GPU.js lets you write ordinary JavaScript functions that it converts into GPU shader code, so they run in parallel on a graphics card. If no GPU is available, the same functions run as regular JavaScript. It works in browsers and in Node.js, and is aimed at heavy numeric work like matrix multiplication.
PixiJS
PixiJS is an open-source JavaScript and TypeScript library for drawing 2D graphics, sprites, text and interactive content in a web browser. It uses WebGL and WebGPU so the browser's graphics hardware does the heavy work, which is why it is often used for browser games, animations and interactive visuals.
Best for
GPU.js
- Developers who need to speed up large numeric computations in the browser
- Developers working with matrix or array math in JavaScript
- Students learning GPU-style parallel computing through JavaScript
- Projects that want a GPU path with an automatic CPU fallback
PixiJS
- Web developers building interactive 2D graphics or animations
- Developers making browser-based 2D games
- Teams that need sprite, text, masking and filter effects on the web
- Developers who want a library with a large community and active releases
Strengths
GPU.js
- Write plain JavaScript functions instead of shader language
- Falls back to regular JavaScript when no GPU is available
- Works in both browsers and Node.js, with TypeScript examples
PixiJS
- Supports both WebGL and WebGPU renderers, per the README
- Large, active community with a MIT license and about 48,000 GitHub stars
- Includes a built-in asset loader, touch support and a documented setup CLI
Not ideal for
GPU.js
- Projects that need a stable, non-breaking API long term, since the README says v3 will make kernel calls asynchronous and break existing sync code
- Simple tasks with small data, where GPU setup overhead may outweigh any speedup (the README gives no figures for small inputs)
- Users who need a general-purpose GPU framework for non-JavaScript languages
PixiJS
- People who want a finished app or game with no coding, since it is a library you write code against
- Projects needing 3D rendering, since the README describes it as a 2D renderer
- Anyone who needs a guaranteed WebGPU experience across every browser, as the README notes WebGPU support depends on the TypeScript setup and environment
Trade-offs
GPU.js
- The README announces a breaking v3 change making every kernel call return a Promise
- Synchronous readbacks block the main thread on WebGL backends, per the README
- Speedups vary; the README says typically 1-15x depending on hardware
PixiJS
- Requires JavaScript or TypeScript knowledge to use, so it is not a no-code tool
- The README's TypeScript section describes version-dependent setup steps for WebGPU types
Getting started
PixiJS
Create a new project with the PixiJS CLI
npm create pixi.js@latestAdd PixiJS to an existing project
npm install pixi.jsFrequently asked questions
What is the difference between GPU.js and PixiJS?
GPU.js: A JavaScript library that runs simple math functions on your GPU, with a CPU fallback. PixiJS: A JavaScript library for fast 2D graphics, animation and interactive content in the browser. GPU.js suits developers who need to speed up large numeric computations in the browser, while PixiJS suits web developers building interactive 2d graphics or animations.
Are GPU.js and PixiJS free?
GPU.js: Free and open source. PixiJS: Free and open source.
Is GPU.js or PixiJS more popular?
PixiJS has more GitHub stars (48.6k) than GPU.js (15.5k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to GPU.js and PixiJS?
Other options people compare them with include Manim, Phaser, three.js, G2, react-three-fiber.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.