# filipedeschamps/doom-fire-algorithm

Playground for the fire effect from DOOM. Really simple algorithm and all experiments are welcome!

Repository: https://github.com/filipedeschamps/doom-fire-algorithm
Canonical: https://ross.abutalabs.com/products/doom-fire-algorithm
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2026-01-26T14:29:38+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 64, release rhythm 35, longevity 100
- inputs: {"age_days": 2798, "days_push": 219, "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 1418, forks 291 (observed 2026-08-28T04:04:40.126527+00:00)

## What it is
A playground of community experiments implementing the classic DOOM fire effect algorithm in JavaScript and other technologies like Canvas, PixiJS, Rust/WASM, and embedded C. It serves as an educational collection of simple pixel-based fire propagation demos.

## Use cases
- learn how the doom fire effect algorithm works
- recreate the fire effect from doom in javascript
- experiment with canvas pixel rendering techniques
- find examples of fire particle effects for games
- study webassembly and pixijs rendering demos
- port the doom fire algorithm to embedded devices

## When to choose
- you want to learn or teach the classic doom fire propagation algorithm
- you want a simple starting point for pixel-based fire effects in the browser
- you want to compare many rendering approaches (tables, canvas, pixijs, wasm, embedded)

## When to avoid
- you need a production-ready fire or particle effects engine
- you need a maintained game graphics library with an API
- you need realistic fluid or physics-based fire simulation

## Facets
- artifact type: learning-resource
- maturity: active
- function: graphics, simulation, animation
- domain: graphics, tutorials, web-development
- platform: browser, cross-platform
- tags: doom-fire-effect, playground, pixel-effects, javascript-experiments, retro-gaming, game-development

## Member repositories
- filipedeschamps/doom-fire-algorithm (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.126527+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 2026-08-30T04:37:57.314597+00:00, confidence not recorded.
  - readme: https://github.com/filipedeschamps/doom-fire-algorithm (fetched 2026-08-28T04:04:40.126527+00:00, sha de67002cc67a)
- Data as of 2026-08-30T08:39:29.467469+00:00.