<h5>Random Number</h5> ======================
Pure random number generator written in TypeScript
A small library for generating random numbers
TypeScript definitions for brorand
rand number
A JavaScript implementation of UUID version 7
Generate random tokens
A dead-simple module for picking a random item with weights.
Secure random numbers of any size in any base
Yet another random library
A term-rand function-factory actor
A math util library
Wraps a function so that it's only ever executed once.
URL and cookie safe UIDs
Blockchain Commons Random Number Utilities for TypeScript
Improved randomness without any external dependencies.
This package is for getting latest agents and randomize it
A simple seeded pseudo-random number generator
React component for number change effect
A library used for generating random strings, written in TypeScript and based on Node.
Simple type-safe websocket RPC layer
A versatile random item picker library for JavaScript. Supports weighted and non-weighted items, multiple chained filters for both added items and pick operations, single or multiple item selection, sequential and unique picking options, weight modifiers,
Is this value a JS Number object? This module works cross-realm/iframe, and despite ES6 @@toStringTag.
Generate random number
A Mersenne-Twister random number generator (RNG) packed up as a class. This allows multiple RNG streams to be active at the same time (which Ruby's normal rand/srand does not allow). The Mersenne-Twister is implemented with fast C code for speed.
**CheapRandom** is a set of tools for pseudo random number generation from arbitrary data. The properties of the **CheapRandom seed** make convenient random number generation possible -- useful for easily repeatable software testing. The **CheapRandom algorithm** is information conserving and generally appears to produce lower chi-squared statistics than **Kernel::rand** i.e. it appears to be more random. The **CheapRandom algorithm**, an original work by Bardi Einarsson, has been in use for 6 years.
Xelor was built for systems that require random bytes for processes faster than one second. Because normal random generation is based off of time as a seed, if there exists multiple calls towards SecureRandom or Rand within one second, the same number will be produced. This can be resolved on unix or linux based systems by making a system call to read /dev/urandom.
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