random number between 2 numbers
PoolTogether Solidity Modulo Bias library
Generate random numbers from various distributions.
Seedable random number generator supporting many common distributions.
Uniformly distributed pseudorandom numbers.
Discrete uniform distributed pseudorandom numbers.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Statistical routines and probability distributions.
A functional typescript implementation of the PCG family random number generators
A mathematically correct random number generator library for JavaScript.
Generate pseudorandom numbers drawn from a continuous uniform distribution.
Round a double-precision floating-point number toward zero.
Javascript Implementation of Statistical R standalone library rnmath
Generate pseudorandom numbers drawn from a discrete uniform distribution.
Common functionality and types for Uniform Canvas
A toolkit of Nullable/Option/Result type implementation in ECMAScript. Their APIs are inspired by Rust's `Option<T>` and `Result<T, E>`.
Create an iterator for generating pseudorandom numbers drawn from a continuous uniform distribution.
Uniform Context core package
TypeScript definitions for d3-random
Fastest random ID and random string generation for Node.js
Extension to Three.js InstancedMesh supporting per-instance uniform values
js consistent hash ring
Uniform random implementation based on Valve's Source Engine SDK.
Simple Random Number Generator including Beta, Cauchy, Chi square, Exponential, Gamma, Inverse Gamma, Laplace (double exponential), Normal, Student t, Uniform, and Weibull. Ported from John D. Cook's C# Code.
This library extends class Random in the Ruby standard library. The Random class in the Ruby standard library supports only random sampling from discrete/continuous uniform distribution. This library provides random sampling methods from many kinds of probability distributions such as normal, gamma, beta, chi_square, t, F, binomial, Poisson, and many other distributions.
OpaqueId provides a simple way to generate unique, URL-friendly identifiers for your ActiveRecord models. Uses rejection sampling for unbiased random generation, ensuring perfect uniformity across the alphabet. Prevents exposing incremental database IDs in URLs and APIs.