@thi.ng/random
Advanced tools
Pseudo-random number generators w/ unified API, distributions, weighted choices, ID generation
@thi.ng/random is a versatile library for generating random numbers and sequences. It provides various random number generators (RNGs) and utilities for creating random values, sequences, and distributions.
Basic Random Number Generation
This feature allows you to generate basic random numbers, both floating-point and integer values, using the default system RNG.
const { SYSTEM } = require('@thi.ng/random');
const rng = SYSTEM;
console.log(rng.float()); // Generates a random float between 0 and 1
console.log(rng.int()); // Generates a random integerSeeded Random Number Generation
This feature allows you to create a seeded random number generator, which produces reproducible sequences of random numbers.
const { XsAdd } = require('@thi.ng/random');
const rng = new XsAdd(12345); // Seeded RNG
console.log(rng.float()); // Generates a reproducible random float
console.log(rng.int()); // Generates a reproducible random integerRandom Value Generation from Arrays
This feature allows you to randomly select values from an array, which is useful for shuffling or sampling data.
const { SYSTEM } = require('@thi.ng/random');
const rng = SYSTEM;
const arr = [1, 2, 3, 4, 5];
console.log(rng.choice(arr)); // Randomly selects an element from the arrayRandom Distributions
This feature allows you to generate random numbers from various statistical distributions, such as normal (Gaussian) distributions.
const { SYSTEM } = require('@thi.ng/random');
const rng = SYSTEM;
console.log(rng.norm(0, 1)); // Generates a random number from a normal distribution with mean 0 and standard deviation 1random-js is a library for generating random numbers and values. It provides a variety of RNGs and utilities for creating random values, similar to @thi.ng/random. However, random-js focuses more on providing a simple API for common randomization tasks.
seedrandom is a library for seeded random number generation. It allows you to create reproducible random sequences by providing a seed. While it offers fewer utilities compared to @thi.ng/random, it is highly focused on the quality and reproducibility of random numbers.
chance is a library for generating random data for various purposes, including numbers, strings, and even entire objects. It offers a broader range of random data generation compared to @thi.ng/random, which is more focused on numerical randomization.
This is a standalone project, maintained as part of the @thi.ng/umbrella monorepo and anti-framework.
Pseudo-random number generators w/ unified API, distributions, weighted choices, ID generation.
This package provides the IRandom interface and various (mostly seedable)
pseudo-random number generator implementations, incl. IRandom wrappers for
Math.random() and window.crypto:
Partially ported from C implementations taken from c.thi.ng.
coin() / fairCoin()pickRandom() / pickRandomKey()randomBytes() / randomBytesFrom()randomID()weightedRandom() / weightedRandomKey()uniqueIndices() / uniqueValuesFrom()uuidv4Bytes() / uuid()STABLE - used in production
Search or submit any issues for this package
yarn add @thi.ng/random
ES module import:
<script type="module" src="https://cdn.skypack.dev/@thi.ng/random"></script>
For Node.js REPL:
const random = await import("@thi.ng/random");
Package sizes (brotli'd, pre-treeshake): ESM: 1.99 KB
Several projects in this repo's /examples directory are using this package:
| Screenshot | Description | Live demo | Source |
|---|---|---|---|
 | Self-modifying, animated typographic grid with emergent complex patterns | Demo | Source |
 | Probabilistic color theme generator | Demo | Source |
 | Interactive inverse FFT toy synth | Demo | Source |
 | 2D Bezier curve-guided particle system | Demo | Source |
 | Basic hiccup-based canvas drawing | Demo | Source |
 | Barnsley fern IFS fractal renderer | Demo | Source |
 | k-means clustering visualization | Demo | Source |
 | Randomized space-filling, nested grid layout generator | Demo | Source |
 | Randomized 4-point 2D color gradient image generator | Demo | Source |
 | Interactive pixel sorting tool using thi.ng/color & thi.ng/pixel | Demo | Source |
 | Animated, iterative polygon subdivisions & visualization | Demo | Source |
 | Procedural stochastic text generation via custom DSL, parse grammar & AST transformation | Demo | Source |
 | Generative audio synth offline renderer and WAV file export | Demo | Source |
 | Evolutionary shader generation using genetic programming | Demo | Source |
 | Responsive & reactively computed stacked column layout | Demo | Source |
 | Game of Life implemented as WebGL2 multi-pass shader pipeline | Demo | Source |
import { Smush32 } from "@thi.ng/random";
const rnd = new Smush32(0xdecafbad);
// the following methods are available for all generators
// next uint (0 .. 2^32-1)
rnd.int()
// 4022849029
// next float [0.0 .. 1.0)
rnd.float()
// 0.2698542904737066
// next normalized float (w/ opt scale)
// [-scale .. +scale)
rnd.norm(100)
// 57.70723665079737
// next float in given interval [min .. max)
rnd.minmax(10, 20)
// 15.295951807707537
rnd.minmaxInt(10, 20)
If this project contributes to an academic publication, please cite it as:
@misc{thing-random,
title = "@thi.ng/random",
author = "Karsten Schmidt",
note = "https://thi.ng/random",
year = 2015
}
© 2015 - 2023 Karsten Schmidt // Apache License 2.0
FAQs
Pseudo-random number generators w/ unified API, distributions, weighted choices, ID generation
The npm package @thi.ng/random receives a total of 121,665 weekly downloads. As such, @thi.ng/random popularity was classified as popular.
We found that @thi.ng/random demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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