Faker is a Python package that generates fake data for you.
-
Updated
Aug 14, 2024 - Python
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.
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
A powerful, feature-rich, random test data generator.
The Declarative Data Generator
A library that creates fully populated objects for your unit tests.
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.
Infer a JSON schema from example data, produce nonsense synthetic data (drivel) according to the schema
Python data provider module that returns random people names, addresses, state names, country names as output. Useful for unit testing and automation.
Test data management tool for any data source, batch or real-time
Create random test data for JPA/Hibernate entities.
Faker provider to generate E164 Phone Numbers
International phone number generation
A TS version of factory girl library
This is a collection of TDK demo projects that use different databases and options
Generate mock data from yaml configuration.
AWS Glue Configurable Test Data Generator for S3 Data Lakes and DynamoDB
Add a description, image, and links to the test-data-generator topic page so that developers can more easily learn about it.
To associate your repository with the test-data-generator topic, visit your repo's landing page and select "manage topics."