pseudorandom

PRVHASH - Pseudo-Random-Value Hash. Hash functions, PRNG with unlimited period, randomness extractor, and a glimpse into abyss. (header-only C/C++) (Codename Gradilac/Градилак)

Very fast, high-quality hash function, discrete-incremental and streamed hashing-capable (non-cryptographic, header-only C/C++) 27GB/s + PRNG

User-friendly pseudorandom number generator (PRNG)

Park-Miller pseudorandom number generator (PRNG)

Ultra fast, high-quality hash functions for hash-tables and hash-maps (non-cryptographic, header-only C/C++) + PRNG

A seeded pseudo-random number generator for JavaScript.

Robust estimations from distribution structures: III. Non-asymptotic

Random (SLAA338) and pseudorandom (LCG) number generation.

ADAM is an actively developed CSPRNG inspired by ISAAC64

Rust implementation of the skip ratchet

Python code that generates three different sequences; LFSR, Gold sequence (given two Maximum Length Sequences (MLS)), and Zadoff-Chu.

ρμ - a Java library of Randomization enHancements and Other Math Utilities

Algorithmic study of random systems. / Keywords: probability stochastic process ANU quantum random number generator Gaussian statistics

Crack java.util.Random when nextInt is used with a power of two.

Python decorator to control randomness of functions, methods and properties

Tested, performant HighwayHash bindings for Python 3 with support for all output lengths.

Fast PRNG implementations in .NET. Your PRNG is unlikely to be a bottleneck in anything you do, but there are exceptions like for instance Monte Carlo simulations, where generating random samples can take some time.

Linear congruential generator (LCG) is an application that demonstrates the generation of pseudo-random numbers. The LCG is a specialized mathematical function (deterministic algorithm) for simulation of “random” numbers. The numbers generated by LCG are called pseudo-random numbers.

A 32-bit Mersenne Twister pseudorandom number generator.

Estimating π using Monte Calro Simulation