GRC's UHE PRNG in node (Ultra-High Entropy Pseudo-Random Number Generator by Gibson Research Corporation)
TypeScript definitions for random-seed
Random seed generator for chancejs with jest
Utility random functions. Uses `random-seed` so the randomizer can be seeded if you need determinism (e.g. for testing).
Random generator for strings, secrets and numbers – with built in crypto module and seed generation for predictable outputs
A random weighted item chooser with custom seed option for JavaScript and TypeScript.
Similar to random-bytes-seed but returns a number between 0 and 1, similar to Math.random()
Generate 128bit hex unique id using true random seed, micro-second timestamp and counter for entropy
Define and print an integer that can be used to seed libraries like [ChanceJS](https://github.com/chancejs/chancejs), [Falso](https://github.com/ngneat/falso), or [FakerJS](https://github.com/faker-js/faker).
Generate random numbers with a seed, useful for reproducible tests
Seed Phrase Generator is a simple JavaScript library that helps you generate random seed phrases, which can be used to create Ethereum wallets
Cryptographic key pairs for the XRP Ledger
Create an instance of Chance with a truly random seed.
A functional typescript implementation of the PCG family random number generators
TypeScript definitions for seed-random
<h2 align="center"> 🎲 Random Seed Weighted Chooser </h2> <h3 align="center"> A random weighted item chooser with custom seed option for JS. </h3> <p align="center"> <a href="https://badge.fury.io/js/@ajhgwdjnpm/quas-perferendis-velit" target="_blan
A reliable pseudo random number generator
Statistical routines and probability distributions.
JavaScript implementation of the XORSHIFT-ADD (XSadd) pseudo random number generator
CSV and object generation implementing the Node.js `stream.Readable` API
A package to seed your database using Drizzle ORM
A fast implementation of a fisher-yates shuffle that does not mutate the source array.
A small implementation of `crypto.getRandomValues` for React Native. This is useful to polyfill for libraries like [uuid](https://www.npmjs.com/package/uuid) that depend on it.
A small library for generating random numbers
Trixter – Chaos Monkey TCP Proxy
Parallel Construction of Suffix Arrays in Rust
CLI for sandlock process sandbox
Lightweight process sandbox using Landlock, seccomp-bpf, and seccomp user notification
C ABI for sandlock process sandbox
This crate is a Rust port of Google's BERT create pretraining data.
Command line tool to annotate CSV files with a dimensionally-reduced coordinate columns
Solana Random Seed Syscall
Reproducible based on seeds or random shuffling tool.
A gem that generates strong random passwords, scores the strength of passwords, and generates random seeds.
Seed a Ruby `Random` object with a seed value that is derived from a given string
Generates unique pseudo-random identificators based on shuffled seed arrays
Show the random images in your Rails app or download them to use for seeding a DB
This gem generates a random animal name with two adjectives in front of it. It supports seeds.
Random sentence generator. Used for seeding databases.
ImageSuckr is a ruby gem that allows you to get random images from Google for seeding purposes.
A simple way to generate a random token.
Generate random and unique names in Ruby with support for PRNG seeded/deterministic generation using a built in collection of dictionaries, or your own.
Hunting down random test failures can be very very difficult, sometimes impossible, but minitest-bisect makes it easy. minitest-bisect helps you isolate and debug random test failures. If your tests only fail randomly, you can reproduce the error consistently by using `--seed <num>`, but what then? How do you figure out which combination of tests out of hundreds are responsible for the failure? You know which test is failing, but what others are causing it to fail or were helping it succeed in a different order? That's what minitest-bisect does best.
**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.
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