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Showing 18 of 18 projects
A minimalist random generator library for JavaScript that produces random numbers, strings, names, addresses, and more.
A comprehensive Go library for generating realistic fake data across 300+ categories with zero dependencies.
An open-source numerical library for .NET and Mono providing algorithms for scientific computing, linear algebra, statistics, and more.
Generate massive amounts of fake data in the browser and NodeJS with tree-shakable, fully-typed functions.
Generate random strings that match any given JavaScript regular expression.
A Swift framework for generating random data across native types, Foundation, and CoreGraphics with protocol-oriented design.
A Java library that automatically creates and populates objects with reproducible random data for unit testing.
A collection of common utility packages for Go, including logging, terminal styling, and byte formatting.
A collection of common utility packages for Go, including logging, terminal styling, and byte formatting.
A CLI tool to generate millions of pseudo-random BSON documents and insert them into MongoDB for testing and development.
A JavaScript library providing a curated list of popular cat names as a simple JSON dataset.
A C# random testing library with parallelized generation and shrinking based on the PCG random number generator.
A Go library for generating random fake data and populating structs with customizable builders and zero dependencies.
A Clojure library for generating cryptographically strong random numbers, tokens, and secrets.
A Swift framework for generating random user data by integrating with the randomuser.me API.
A Rust library for efficiently reading and navigating forward, backward, or randomly through lines in huge files (tested with 300+ GB).
Creates a readable stream for cryptographically strong pseudo-random data using Node.js crypto.randomBytes().
An Erlang implementation of the SIMD-oriented Fast Mersenne Twister pseudorandom number generator, with both NIF and pure Erlang modules.
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