Faker is a Python package that generates fake data for you.

AutoFixture is an open source library for .NET designed to minimize the 'Arrange' phase of your unit tests in order to maximize maintainability. Its primary goal is to allow developers to focus on what is being tested rather than how to setup the test scenario, by making it easier to create object graphs containing test data.

A powerful, feature-rich, random test data generator.

The Declarative Data Generator

A library that creates fully populated objects for your unit tests.

Java fake data generator

Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.

C++ Faker library for generating fake (but realistic) data.

CLI utility for fake data generation

The DataHelix generator allows you to quickly create data, based on a JSON profile that defines fields and the relationships between them, for the purpose of testing and validation

Create files with fake data. In many formats. With no efforts.

Python data provider module that returns random people names, addresses, state names, country names as output. Useful for unit testing and automation.

Infer a JSON schema from example data, produce nonsense synthetic data (drivel) according to the schema

Create random test data for JPA/Hibernate entities.

Faker provider to generate E164 Phone Numbers

International phone number generation

AWS Glue Configurable Test Data Generator for S3 Data Lakes and DynamoDB

A TS version of factory girl library

This is a collection of TDK demo projects that use different databases and options

Generate fake data for Scala and Spark 🎩