Fractnn

Fractnn is a Python library designed for creating and manipulating fractal noise functions. Fractal noise, often referred to as Perlin noise or Simplex noise, is a procedural generation technique used to create natural-looking textures and patterns. These patterns are characterized by their inherent randomness and organic appearance, making them suitable for a wide range of applications in computer graphics, game development, and scientific visualization.

The library provides tools to generate various types of fractal noise, including fractal Brownian motion (fBm) and multifractal noise. These are achieved by summing multiple layers of basic noise functions, each with different frequencies and amplitudes. This layering process creates a more complex and detailed texture with features at multiple scales. Fractnn allows users to control parameters such as octaves (the number of noise layers), persistence (how much each successive octave contributes), and lacunarity (how much the frequency increases with each octave).

Fractnn is built to be efficient and flexible, offering both 2D and 3D noise generation. The noise functions can be sampled at any given coordinate to produce a corresponding noise value. This allows for dynamic generation of landscapes, clouds, procedural textures, and other visually interesting phenomena. The library aims to provide an accessible interface for developers to integrate sophisticated noise generation into their projects without requiring deep mathematical understanding of the underlying algorithms.