Numpy-compatible bit generators and add some random variate distributions missing from NumPy.

General purpose C# code library.

A multithreaded discrete event simulation library in C, using POSIX pthreads for parallelized trials and replications, stackful asymmetric coroutines for concurrent simulated processes inside each thread, and optionally CUDA or other GPGPU parallelism for detailed model physics inside each coroutine.

Rcpp bindings for different Ziggurat RNG implementations

Fast Gaussian distributed pseudorandom number generation in Java via the Ziggurat algorithm

Mathematical proof of functionality, of a highly efficient pseudo-random number generator: The Ziggurat Method

Lightweight, no_std-friendly RNG library for Rust. Xoshiro256++ default; optional Mersenne Twister, PCG32/64, ChaCha20 CSPRNG, SIMD bulk-byte (NEON/AVX2), Halton/Sobol/Van der Corput quasi-random. Ziggurat normal(), 4 built-in distributions + pluggable Distribution trait. 100% test coverage.

Ziggurat normal random number generator

Home of all things Ziggurat.

The Ziggurat Algorithm is a Fast and Efficient Algorithm for Pseudo-Random Number Sampling, Mainly used for Generating Random Values from Monotonically Decreasing Probability Distributions, Including the Normal (Gaussian) Distribution