# SebLague/Ray-Marching

Repository: https://github.com/SebLague/Ray-Marching
Canonical: https://ross.abutalabs.com/products/ray-marching
Homepage: https://youtu.be/Cp5WWtMoeKg
Language: C#
License: MIT
License Family: permissive
Last push: 2021-04-08T14:50:19+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": 2710, "days_push": 1973, "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 1089, forks 175 (observed 2026-08-28T04:03:32.617074+00:00)

## What it is
A Unity experiment project demonstrating ray marching to render signed distance functions, including a Mandelbulb fractal and shape blending/cutting operations. It accompanies a YouTube tutorial video and is explicitly unoptimized and incomplete.

## Use cases
- learn how ray marching works
- render signed distance functions in Unity
- render a Mandelbulb fractal
- see examples of blending and cutting SDF shapes
- follow along with a ray marching tutorial video

## When to choose
- you want a small, readable educational example of ray marching in Unity
- you're following the author's video and want the accompanying source code
- you want a starting point to experiment with SDF rendering

## When to avoid
- you need a production-ready or optimized ray marching renderer
- you want a complete engine or library with documentation and support
- you don't use Unity or C#

## Facets
- artifact type: learning-resource
- maturity: experimental
- function: graphics, simulation, game-engine
- domain: graphics, simulation
- platform: game-engine, cross-platform
- tags: ray-marching, signed-distance-functions, unity, shader, fractals, mandelbulb, educational, game-development, desktop

## Member repositories
- SebLague/Ray-Marching (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:32.617074+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 2026-08-30T06:49:16.523320+00:00, confidence not recorded.
  - readme: https://github.com/SebLague/Ray-Marching (fetched 2026-08-28T04:03:32.617074+00:00, sha 7a5c8a03f35b)
  - homepage: https://youtu.be/Cp5WWtMoeKg (fetched 2026-08-29T12:51:28.005809+00:00, sha c87833c0530b)
- Data as of 2026-08-30T08:39:29.467469+00:00.