# Auburn/FastNoise2

Modular node graph based noise generation library using SIMD, C++17 and templates

Repository: https://github.com/Auburn/FastNoise2
Canonical: https://ross.abutalabs.com/products/fastnoise2
Language: C++
License: MIT
License Family: permissive
Topics: noise, noise-generator, noise-algorithms, simplex, perlin-noise, node-graph, fastnoise, cross-platform, terrain-generation, texture-generation, simd, procedural-generation, magnum
Last push: 2026-02-25T00:19:58+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 69, release rhythm 72, longevity 100
- inputs: {"age_days": 2394, "days_push": 190, "days_rel": 190, "gap_med": 9, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1395, forks 143 (observed 2026-08-28T04:04:36.480994+00:00)

## What it is
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
- artifact type: library
- maturity: stable
- function: graphics, simulation, math, sdk
- domain: graphics, simulation, cross-platform
- platform: cpp, cross-platform, windows
- tags: noise-generation, simd, procedural-generation, perlin-noise, simplex-noise, node-graph, terrain-generation, texture-generation, domain-warping, fractal-noise, game-development, algorithms, linux, macos

## Member repositories
- Auburn/FastNoise2 (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:36.480994+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 2026-08-30T04:39:21.479886+00:00, confidence not recorded.
  - readme: https://github.com/Auburn/FastNoise2 (fetched 2026-08-28T04:04:36.480994+00:00, sha fcb4e3f637dc)
- Data as of 2026-08-30T08:39:29.467469+00:00.