# sotrh/learn-wgpu

Guide for using gfx-rs's wgpu library.

Repository: https://github.com/sotrh/learn-wgpu
Canonical: https://ross.abutalabs.com/products/learn-wgpu
Homepage: https://sotrh.github.io/learn-wgpu/
Language: Rust
License: MIT
License Family: permissive
Last push: 2026-07-22T05:12:59+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 35, longevity 100
- inputs: {"age_days": 2510, "days_push": 42, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1957, forks 321 (observed 2026-08-28T04:05:59.138644+00:00)

## What it is
A tutorial-style guide teaching how to use wgpu, the Rust implementation of the WebGPU API. It walks through GPU programming concepts in Rust with runnable example code.

## Use cases
- learn wgpu in rust
- webgpu tutorial for rust developers
- how to render graphics with wgpu
- getting started with gpu programming in rust
- learn vulkan-style graphics api via webgpu
- write compute shaders with wgpu
- port graphics code to webgpu in rust

## When to choose
- you know Rust basics and want to learn GPU programming with wgpu
- you want a hands-on tutorial with runnable examples for WebGPU in Rust
- you're building a game engine or renderer on top of wgpu

## When to avoid
- you need a finished graphics engine rather than a learning guide
- you want a WebGPU tutorial for JavaScript or another language
- you need guaranteed up-to-date coverage of the latest wgpu API changes

## Facets
- artifact type: learning-resource
- maturity: active
- function: graphics, game-engine, developer-tools
- domain: graphics, tutorials, programming-languages
- platform: rust, cross-platform, wasm
- tags: wgpu, webgpu, rust, tutorial, gpu-programming, vulkan, shaders, rendering, game-development

## Member repositories
- sotrh/learn-wgpu (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:59.138644+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 2026-08-30T03:06:12.405573+00:00, confidence not recorded.
  - homepage: https://sotrh.github.io/learn-wgpu/ (fetched 2026-08-29T10:45:53.943063+00:00, sha dc791a824ab6)
- Data as of 2026-08-30T08:39:29.467469+00:00.