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Auburn/FastNoise2

Modular node graph based noise generation library using SIMD, C++17 and templates observed · 2026-08-28

github.com/Auburn/FastNoise2 · C++ · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 69
  • Release rhythm 72
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 9
  • age_days: 2394
  • days_rel: 190
  • days_push: 190
  • n_releases_24m: 4

Full methodology

Adoption not part of the score

1395 stars · 143 forks observed · 2026-08-28

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

FastNoise2 is a modular, node graph based procedural noise generation library written in modern C++17 with SIMD acceleration. It supports Perlin, Simplex, cellular, and fractal noise types with blending, modifiers, and domain warping, all fused into a single SIMD pipeline, plus a visual Node Editor tool and serialization of node trees.

Use cases

  • generate terrain heightmaps for a game world
  • create procedural textures with layered noise
  • generate perlin or simplex noise quickly in C++
  • build domain-warped noise for clouds or fluids
  • design noise graphs visually and load them in my engine
  • generate 2D tiling noise textures
  • parallelize noise generation across threads

When to choose

  • you need high-performance, SIMD-optimized noise generation in C++
  • you want to combine multiple noise types and operators efficiently
  • you need 2D/3D/4D noise with fractals and domain warping
  • you want a visual node editor to prototype noise setups

When to avoid

  • you need noise generation in a language without bindings to FastNoise2
  • you only need trivial random noise rather than coherent noise
  • you require GPU-based noise generation rather than CPU SIMD

Facets

library · maturity stable

graphics simulation math sdk graphics simulation cross-platform cpp cross-platform windows noise-generation simd procedural-generation perlin-noise simplex-noise node-graph terrain-generation texture-generation domain-warping fractal-noise game-development algorithms linux macos

1 source

Member repositories

RepositoryRoleHealth v2
Auburn/FastNoise2main76

For agents

markdown · JSON · MCP: product_card(name="Auburn/FastNoise2")

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