Ross ROSS = Recommend OSS · open-source software intelligence for agents

jdah/doomenstein-3d resource

Wolfenstein/DOOM style software renderers observed · 2026-08-28

github.com/jdah/doomenstein-3d · C · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

30/100

  • Activity 0
  • Release rhythm 35
  • Longevity 91

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1277
  • days_rel: n/a
  • days_push: 1272
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1062 stars · 75 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A pair of small C programs implementing Wolfenstein 3D and DOOM style software renderers from scratch. It serves as a compact, readable reference for classic raycasting and BSP-style rendering techniques.

Use cases

  • learn how doom-style software rendering works
  • understand raycasting engines
  • study retro fps renderer internals in c
  • reference implementation of wolfenstein 3d renderer
  • starting point for writing a software renderer

When to choose

  • you want minimal, readable C source code explaining classic FPS rendering
  • you need a small educational codebase to study raycasting and doom-style rendering

When to avoid

  • you need a full playable game with levels, enemies, and assets
  • you want a modern GPU-accelerated game engine

Facets

learning-resource · maturity stable

graphics simulation graphics cpp windows cross-platform software-renderer raycasting doom wolfenstein-3d c educational retro-gaming game-development algorithms linux macos

1 source

Member repositories

RepositoryRoleHealth v2
jdah/doomenstein-3dmain30

For agents

markdown · JSON · MCP: product_card(name="jdah/doomenstein-3d")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem