# webgpu/webgpufundamentals

Repository: https://github.com/webgpu/webgpufundamentals
Canonical: https://ross.abutalabs.com/products/webgpufundamentals
Homepage: https://webgpufundamentals.org
Language: HTML
License: BSD-3-Clause
License Family: permissive
Topics: webgpu, graphics
Last push: 2026-08-22T00:40:26+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 2996, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1025, forks 152 (observed 2026-08-28T04:03:16.513883+00:00)

## What it is
WebGPU Fundamentals is a series of tutorial articles teaching the WebGPU graphics and compute API, hosted at webgpufundamentals.org. The repository contains the lesson content, multilingual translations, and the static site build system.

## Use cases
- learn webgpu from scratch
- understand wgsl shaders
- learn 3d math for web graphics
- learn compute shaders in webgpu
- find webgpu examples for textures and buffers
- migrate from webgl to webgpu

## When to choose
- you want step-by-step tutorials for learning WebGPU
- you need clear explanations of 3D math, shaders, and GPU concepts
- you prefer learning from interactive in-browser examples

## When to avoid
- you need a WebGPU engine or library rather than tutorials
- you want a complete reference manual instead of lessons
- you need production-ready rendering code to drop into your app

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, graphics
- domain: tutorials, web-development, graphics
- platform: browser
- tags: webgpu, wgsl, tutorials, gpu-programming, shaders, 3d-math, compute-shaders, web-server

## Member repositories
- webgpu/webgpufundamentals (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:16.513883+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:08:06.050742+00:00, confidence not recorded.
  - readme: https://github.com/webgpu/webgpufundamentals (fetched 2026-08-28T04:03:16.513883+00:00, sha 0c5693a4d431)
  - homepage: https://webgpufundamentals.org (fetched 2026-08-29T13:08:23.289000+00:00, sha 66d65d31f52f)
  - site_page: https://webgpufundamentals.org/webgpu/lessons/webgpu-limits-and-features.html (fetched 2026-08-29T13:08:23.297909+00:00, sha ce7e58defb17)
- Data as of 2026-08-30T08:39:29.467469+00:00.