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Back to jwagner/simplex-noise.js

Projects sharing features with Simplex Noise.js

30 open-source projects similar to jwagner/simplex-noise.js, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

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    This project is a procedural content generation framework and three-dimensional mesh generation library designed for the Unity game engine. It provides a system for automating the creation of complex landscapes and natural environments by programmatically constructing geometric terrain surfaces and heightmaps. The generator utilizes layered noise functions to calculate elevation values, which are then translated into terrain geometry. To maintain performance during real-time rendering, the system employs chunk-based mesh generation and dynamic level-of-detail management, which adjusts geometr

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    Shan-shui-inf is an algorithmic art engine designed to generate infinite, procedurally created mountain and tree scenery. It functions as a generative Chinese painting engine that mimics the style and composition of traditional ink landscapes using mathematical noise and geometric functions. The system produces a seamless and endless stream of scalable vector graphics, enabling infinite vector scrolling. It maps noise values to spatial coordinates to arrange landscape elements and calculates vector coordinates to simulate organic hand-painted strokes. All artwork is rendered as scalable vect

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    This project is a programming education resource and a collection of vintage game ports. It provides a library of classic computer game implementations and algorithmic problems translated into modern memory-safe scripting languages for educational study and execution. The collection focuses on the implementation of game logic and the practice of fundamental computer science algorithms. It includes diverse examples of procedural content generation, such as random mazes and text-based art, alongside mathematical visualizations. The project covers a wide array of simulation categories, includin

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    This project is a comprehensive collection of computer science implementations and an algorithm tutorial repository. It serves as a study guide and reference for competitive programming, providing executable code examples that demonstrate fundamental algorithmic problem solving and mathematical computation. The library covers a wide range of specialized domains, including cryptography and security primitives, lossless data compression techniques, and computational geometry for spatial analysis. It also features implementations of machine learning models, linear algebra operations, and formal

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