random
Seedable random number generator supporting many common distributions.
Found 318 results for pseudorandom
Seedable random number generator supporting many common distributions.
Random numbers.
A 32-bit Mersenne Twister pseudorandom number generator.
Common APIs shared across base pseudorandom number generators.
Uniformly distributed pseudorandom numbers between 0 and 1.
Normally distributed pseudorandom numbers using the Box-Muller transform.
Weibull distributed pseudorandom numbers.
Base pseudorandom number generators.
Hypergeometric distributed pseudorandom numbers.
Inverse gamma distributed pseudorandom numbers.
Pseudorandom numbers having integer values.
Normally distributed pseudorandom numbers using the improved Ziggurat method.
Beta distributed pseudorandom numbers.
Gamma distributed pseudorandom numbers.
Discrete uniform distributed pseudorandom numbers.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Uniformly distributed pseudorandom numbers.
Fully-fledged collection of both 32 and 64 bit seedable random number generators whose output precisely matches their original c/c++ implementations.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Exponentially distributed pseudorandom numbers.
Chi-square distributed pseudorandom numbers.
Chi distributed pseudorandom numbers.
Negative binomial distributed pseudorandom numbers.
Pareto (Type I) distributed pseudorandom numbers.
Triangular distributed pseudorandom numbers.
Fréchet distributed pseudorandom numbers.
Cauchy distributed pseudorandom numbers.
Normally distributed pseudorandom numbers.
Log-normally distributed pseudorandom numbers.
F distributed pseudorandom numbers.
Geometric distributed pseudorandom numbers.
Lévy distributed pseudorandom numbers.
Park-Miller pseudorandom number generator (PRNG)
Bernoulli distributed pseudorandom numbers.
Logistic distributed pseudorandom numbers.
Poisson distributed random numbers.
Beta prime distributed pseudorandom numbers.
Arcsine distributed pseudorandom numbers.
Raised cosine distributed pseudorandom numbers.
Erlang distributed pseudorandom numbers.
Kumaraswamy's double bounded distributed pseudorandom numbers.
Gumbel distributed pseudorandom numbers.
Binomial distributed pseudorandom numbers.
Standard normal pseudorandom numbers.
Laplace (double exponential) distributed pseudorandom numbers.
Student's t-distributed pseudorandom numbers.
Rayleigh distributed pseudorandom numbers.
User-friendly pseudorandom number generator (PRNG)
Constructor for creating arrays filled with pseudorandom values drawn from a nullary PRNG.
Constructor for creating arrays filled with pseudorandom values drawn from a binary PRNG.
Create a factory function for generating pseudorandom values drawn from a binary PRNG.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
A random weighted item chooser with custom seed option for JavaScript and TypeScript.
A simple seeded pseudo-random number generator
Returns a random or pseudorandom string
Generate pseudorandom numbers and sample probability distributions with optional seed and choice of algorithm.
A recoverable number generator that generates pseudorandom integer or floating-point numbers within a given range.
Constructor for creating arrays filled with pseudorandom values drawn from a unary PRNG.
Create an array containing pseudorandom numbers drawn from a Bernoulli distribution.
Create an iterator for generating pseudorandom numbers drawn from a continuous uniform distribution.
Create a factory function for generating pseudorandom values drawn from a unary PRNG.
Create an iterator for generating uniformly distributed pseudorandom numbers between 0 and 1.
Create an array containing pseudorandom numbers drawn from a normal distribution.
Seedable random number generator supporting many common distributions.
Create an iterator for generating pseudorandom numbers drawn from a beta distribution.
Fill a strided array with pseudorandom numbers drawn from a normal distribution.
SHISHUA: The fastest PRNG. A seedrandom-compatible random number generator.
To shuffle an Array.
Generate and use memorable random seeds.
Pseudorandom hexadecimal color generator.
Fast scrambled, pseudorandom, numbers in a given range touching each value only once without using a flags array or random number generator. Uses a linear feedback shift register.
OTP Generator with specified seed & specified digits
Create an iterator for generating pseudorandom numbers drawn from a lognormal distribution.
Create an iterator for generating pseudorandom numbers drawn from a triangular distribution.
Create an iterator for generating pseudorandom numbers drawn from a normal distribution.
Create an iterator for generating pseudorandom numbers drawn from a discrete uniform distribution.
check actual number is expected number ± delta
Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).
Create an iterator for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
Create an array containing pseudorandom numbers drawn from a Pareto (Type I) distribution.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
Create an iterator for a 32-bit Mersenne Twister pseudorandom number generator.
Test if a value is PRNG-like.
Create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
Create an array containing pseudorandom numbers drawn from an F distribution.
Create an iterator for generating pseudorandom numbers drawn from an F distribution.
wrap xorshift128+ to random number generator
Fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Create an array containing pseudorandom numbers drawn from a lognormal distribution.
Create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Create a readable stream for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.
Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.
Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.
Create an array containing pseudorandom numbers drawn from a Cauchy distribution.
Create a factory function for filling strided arrays with pseudorandom values drawn from a unary PRNG.
Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.
Create a readable stream for generating pseudorandom numbers drawn from an F distribution.
Create an array containing pseudorandom numbers drawn from a chi-square distribution.
Create an array containing pseudorandom numbers drawn from a negative binomial distribution.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
Fast pseudorandom number generator
Seedable random number generator supporting many common distributions.
Create a readable stream for generating pseudorandom numbers drawn from a binomial distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Laplace (double exponential) distribution.
jquery mersenne-twister pseudorandom number generator pluggin
Fill a strided array with pseudorandom numbers drawn from a lognormal distribution.
Create a readable stream for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Seedable random number generator supporting many common distributions.
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
Fill a strided array with pseudorandom numbers drawn from a chi-square distribution.
Fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
Create a readable stream for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.
Create an iterator for generating pseudorandom numbers drawn from a chi-square distribution.
Create an array containing pseudorandom numbers drawn from a binomial distribution.
Create a readable stream for generating pseudorandom numbers drawn from an F distribution.
Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.
Makes Random Number Generation Easier
Create a readable stream for generating pseudorandom numbers having integer values.
Create a readable stream for generating pseudorandom numbers drawn from a raised cosine distribution.
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.
Create an iterator for generating pseudorandom numbers drawn from a negative binomial distribution.
Pseudorandom pixel art avatar generator.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
MSVCRT's rand() function in javascript
Park-Miller pseudorandom number generator (PRNG) package. Fast and easy-to-use for applications requiring controlled randomness.
Create a readable stream for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Create an array containing uniformly distributed pseudorandom numbers between 0 and 1.
Create a readable stream for generating pseudorandom numbers drawn from a Lévy distribution.
A cryptographically secure generator for random numbers in a range.
Deterministic method of pseudorandom seed derivation from biographic material and secrets.
Create a readable stream for generating pseudorandom numbers drawn from a Student's t distribution.
Create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
Create a readable stream for generating pseudorandom numbers drawn from a beta distribution.
Create a factory function for generating pseudorandom values drawn from a ternary PRNG.
Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.
Create a readable stream for generating pseudorandom numbers drawn from a uniform distribution.
Unbiased and crytpgraplically safe library for generating random BigInt
A simple, seed-able pseudo-random number generator (PRNG).
Create a readable stream for generating pseudorandom numbers drawn from a chi distribution.
Create a readable stream for generating pseudorandom numbers drawn from a chi-square distribution.
Create an iterator for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Create a readable stream for generating pseudorandom numbers drawn from a uniform distribution.
Create a readable stream for generating uniformly distributed pseudorandom numbers between 0 and 1.
Create an array containing pseudorandom numbers drawn from an Erlang distribution.
Create an iterator for generating pseudorandom numbers drawn from a Weibull distribution.
Create a readable stream for generating pseudorandom numbers drawn from an arcsine distribution.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.
Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.
Simple pseudorandom number generator that takes a seed as string or number.
Pseudorandom number generator streams.
Fill a strided array with pseudorandom numbers drawn from a Rayleigh distribution.
Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.
Create an iterator for generating pseudorandom numbers drawn from a Student's t distribution.
Create an array containing pseudorandom numbers drawn from a Gumbel distribution.
Create an iterator for generating pseudorandom numbers drawn from a beta prime distribution.
Create an iterator for generating pseudorandom numbers drawn from a Gumbel distribution.
Create a readable stream for generating pseudorandom numbers drawn from a triangular distribution.
Create a readable stream for generating pseudorandom numbers drawn from a geometric distribution.
Create an array containing pseudorandom numbers drawn from a gamma distribution.
Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.
Fill a strided array with pseudorandom numbers drawn from a chi distribution.
Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a geometric distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.
Create a readable stream for generating uniformly distributed pseudorandom numbers between 0 and 1.
Create an iterator for generating pseudorandom numbers drawn from a chi distribution.
Pseudorandom number generator array creation function tools.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.
Create a readable stream for generating pseudorandom numbers drawn from a normal distribution.
Create an iterator for generating pseudorandom numbers having integer values.
Create an array containing pseudorandom numbers drawn from Kumaraswamy's double bounded distribution.
Create a factory function for filling strided arrays with pseudorandom values drawn from a binary PRNG.
Create a readable stream for generating pseudorandom numbers drawn from a logistic distribution.
Fill a strided array with pseudorandom numbers drawn from a continuous uniform distribution.
o2.js — A utility to generate random hex strings with various cryptographical strength. — http://o2js.com/.
Create a readable stream for generating pseudorandom numbers drawn from a chi-square distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Weibull distribution.
Create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Create an array containing pseudorandom numbers drawn from an arcsine distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Bernoulli distribution.
Create a readable stream for generating pseudorandom numbers drawn from a beta distribution.
Create an array containing pseudorandom numbers drawn from an exponential distribution.
Create an array containing pseudorandom numbers drawn from an inverse gamma distribution.
Pseudo-random number generation functions and utilities.
Create an array containing pseudorandom numbers drawn from a Fréchet distribution.
Create a readable stream for generating pseudorandom numbers drawn from an arcsine distribution.
Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.
Create an array containing pseudorandom numbers drawn from a Rayleigh distribution.
Seedable random generator supporting many common distributions. Random numbers and string generation.
Create a readable stream for generating pseudorandom numbers drawn from a logistic distribution.
Create an array containing pseudorandom numbers drawn from a chi distribution.
Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.
Benchmark of pseudorandom number generators
Create an array containing pseudorandom numbers drawn from a geometric distribution.
Fill a strided array with pseudorandom numbers drawn from a discrete uniform distribution.
Create an iterator for generating pseudorandom numbers drawn from a logistic distribution.
Create an iterator for generating pseudorandom numbers drawn from an exponential distribution.
Create a readable stream for generating pseudorandom numbers drawn from a triangular distribution.
Pseudorandom number generator array creation functions.
Generates random ASCII characters from a seed
Create an array containing pseudorandom numbers drawn from a Laplace (double exponential) distribution.
Create an iterator for generating pseudorandom numbers drawn from a Cauchy distribution.
Create an array containing pseudorandom numbers drawn from a Student's t-distribution.
Create an iterator for generating pseudorandom numbers drawn from a hypergeometric distribution.
Create an array containing pseudorandom numbers drawn from a hypergeometric distribution.
Fill a strided array with pseudorandom numbers drawn from a raised cosine distribution.
Create a readable stream for generating pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a logistic distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Weibull distribution.
Create an array containing pseudorandom numbers drawn from a beta distribution.
Create a readable stream for generating pseudorandom numbers drawn from a binomial distribution.
Create an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Poisson distribution.
Fill a strided array with pseudorandom numbers drawn from a beta prime distribution.
Create an iterator for generating pseudorandom numbers drawn from an inverse gamma distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Gumbel distribution.
Create an iterator for generating pseudorandom numbers drawn from a Laplace distribution.
Create an iterator for generating pseudorandom numbers drawn from a Lévy distribution.
Create a factory function for filling strided arrays with pseudorandom values drawn from a ternary PRNG.
Create an iterator for generating pseudorandom numbers drawn from an arcsine distribution.