# diekmann/wasm-fizzbuzz

WebAssembly from Scratch: From FizzBuzz to DooM.

Repository: https://github.com/diekmann/wasm-fizzbuzz
Canonical: https://ross.abutalabs.com/products/wasm-fizzbuzz
Language: C++
License Family: other
Topics: doom, webassembly, wasm, rust, javascript
Last push: 2021-07-15T11:21:40+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2069, "days_push": 1875, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1557, forks 78 (observed 2026-08-28T04:05:03.292653+00:00)

## What it is
A four-part tutorial series exploring WebAssembly from scratch, from hand-written WAT FizzBuzz to compiling Rust and porting 1997 DooM to the browser. It includes live demos deployed via GitHub Pages.

## Use cases
- learn webassembly from scratch
- understand how wasm works without tooling
- compile rust to webassembly
- port a c game like doom to the browser
- hand-write wat modules
- find a wasm tutorial for backend developers

## When to choose
- you want a bottom-up, low-magic introduction to WebAssembly
- you learn best by building examples like FizzBuzz and DooM yourself
- you want a working end-to-end example of Rust or C++ compiled to wasm in the browser

## When to avoid
- you need a production wasm toolchain or framework
- you want a maintained library rather than a tutorial
- you need licensing clarity for reuse, since no license is specified

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: wasm, compiler, developer-tools
- domain: tutorials, web-development, programming-languages
- platform: browser, wasm
- tags: webassembly, tutorial, doom, wat, rust-to-wasm, from-scratch, game-development, web-server

## Member repositories
- diekmann/wasm-fizzbuzz (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:03.292653+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 2026-08-30T04:29:56.691346+00:00, confidence not recorded.
  - readme: https://github.com/diekmann/wasm-fizzbuzz (fetched 2026-08-28T04:05:03.292653+00:00, sha 5130193695b4)
- Data as of 2026-08-30T08:39:29.467469+00:00.