Generates normally distributed random variates.
Statistical routines and probability distributions.
A collection of probability distribution functions
Seedable random number generator supporting many common distributions.
Pseudo-random number generators w/ unified API, distributions, weighted choices, ID generation
Generate random numbers from various distributions.
Generate random variables from a variety of probability distributions. Includes tools to shuffle an array or sample from it.
Normal distribution probability density function (PDF)
Random numbers.
A tiny little drawing editor.
Truncated normal distribution probability density function (PDF)
A small javascript module for working with normal distributions
Javascript Implementation of Statistical R standalone library rnmath
Normally distributed pseudorandom numbers.
Quadrat analysis lays a set of equal-size areas(quadrat) over the study area and counts the number of features in each quadrat and creates a frequency table.
Measures patterns of attribute values associated with features. Reveals whether similar values tend to occur near each other, or whether high or low values are interspersed
Fully-fledged collection of both 32 and 64 bit seedable random number generators whose output precisely matches their original c/c++ implementations.
tldraw infinite canvas SDK (editor).
Node.js package for generating different kinds of random numbers.
TypeScript definitions for d3-random
Fastest random ID and random string generation for Node.js
Normal distribution cumulative distribution function (CDF).
Normal distribution quantile function.
tldraw infinite canvas SDK (multiplayer sync).
Random number generator from a multivariate normal distribution.
Generates Normally Distributed, Random Numbers
Generate random numbers from a Normal/Gaussian distribution
random variables for a wide variety of probability distributions such as: Binomial, Beta, Chi-Squared, Normal, Pareto, Poisson, etc.
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.