# SebLague/Marching-Cubes

Coding Adventure

Repository: https://github.com/SebLague/Marching-Cubes
Canonical: https://ross.abutalabs.com/products/marching-cubes
Homepage: https://www.youtube.com/watch?v=M3iI2l0ltbE
Language: C#
License: MIT
License Family: permissive
Last push: 2019-07-11T22:14:06+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2677, "days_push": 2610, "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 1119, forks 203 (observed 2026-08-28T04:03:39.361954+00:00)

## What it is
A Unity C# implementation of the marching cubes algorithm for generating 3D meshes from scalar fields, created as part of a 'Coding Adventure' video series. It serves as an educational reference for procedural terrain and voxel-based mesh generation.

## Use cases
- learn how the marching cubes algorithm works
- generate 3D terrain meshes from voxel data in Unity
- study procedural mesh generation code
- follow along with a coding adventure tutorial on isosurface extraction
- build a voxel-based world generator prototype

## When to choose
- you want a small, readable reference implementation of marching cubes in C#
- you are learning procedural mesh generation in Unity
- you need a starting point for voxel terrain experiments

## When to avoid
- you need a production-ready, optimized terrain engine
- you are not using Unity or C#
- you need advanced features like chunked worlds or LOD

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: graphics, simulation, game-engine
- domain: graphics, tutorials
- platform: game-engine, cross-platform
- tags: marching-cubes, unity, procedural-generation, mesh-generation, voxels, c-sharp, game-development

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:39.361954+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 2026-08-30T06:41:09.383013+00:00, confidence not recorded.
  - readme: https://github.com/SebLague/Marching-Cubes (fetched 2026-08-28T04:03:39.361954+00:00, sha 42929721b2a0)
  - homepage: https://www.youtube.com/watch?v=M3iI2l0ltbE (fetched 2026-08-29T12:44:58.134246+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.