Data Generation
Showing 36 of 39 projects
Generate massive amounts of fake (but realistic) data for testing and development in Node.js and browsers.
A Ruby library for generating realistic fake data like names, addresses, and phone numbers for testing and development.
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.
A Java library for generating fake data, ported from Ruby's Faker gem, useful for testing and development.
A fast Python library for generating fake data in multiple languages with extensible providers and schema-based generation.
A PHP library for generating fake data to bootstrap databases, create test data, and anonymize production data.
Generate realistic fake JSON data from JSON Schema definitions with zero production dependencies.
An open-source synthetic patient population simulator that generates realistic (but not real) patient data and health records in multiple formats.
A PHP library for generating expressive, customizable fake data fixtures for development and testing.
Generate random strings that match any given JavaScript regular expression.
A Swift library for generating realistic fake data, useful for testing and populating databases during development.
A declarative tool for generating realistic, scalable test data from code or existing databases.
A declarative tool for generating realistic, scalable test data from code or existing databases.
A Rust library and CLI tool for generating realistic fake data in multiple languages, with support for struct derivation and locale-specific fakers.
A pure Elixir library for generating fake data for testing and development.
A JavaScript library for parsing and generating Excel XLSX files with Node.js and browser support, preserving existing styles and features.
An Elixir library for data generation and property-based testing with an idiomatic Elixir API.
A Java library for generating realistic fake data like persons, companies, and emails with locale support.
A Swift library for generating random data types, fake human information, and test content.
A Scala-based event data simulator that generates realistic web traffic for a fake music streaming service.
A modern Java library for generating realistic mock data with a fluent API, supporting JSON, XML, CSV, and SQL.
A Ruby gem that generates example strings matching any given regular expression, including random examples.
A Kotlin/JVM library for generating realistic fake data like names, addresses, and banking details for testing and anonymization.
A C++ library for generating realistic fake data across 40+ categories, inspired by Faker.js.
A free, all-in-one web-based database IDE with query editing, data visualization, time machine, and intelligent data generation.
A CLI tool to generate millions of pseudo-random BSON documents and insert them into MongoDB for testing and development.
An Alfred workflow that generates realistic fake test data like names, addresses, emails, and more for developers and testers.
Integrates the Faker PHP library into Symfony's dependency injection container for generating fake database data.
A high-performance Java library for generating realistic business data with internationalization support.
A data generation framework for Elixir that simplifies creating test records as maps or Ecto models.
A lightweight Go-based templating system for generating random data with customizable tokens.
A Crystal library for generating fake data like names, addresses, emails, and more for testing and development.
Legacy Java-based model-driven tool for generating, anonymizing, and migrating test data for development and testing.
A Go-based random fake data generator extension for k6 performance tests, offering faster startup and lower memory usage.
A JavaScript API for generating random mock data from popular nerdy franchises like Harry Potter, Star Wars, and Pokemon.
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