Faker is a Python package that generates fake data for you.
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Updated
May 13, 2024 - Python
Faker is a Python package that generates fake data for you.
A powerful, feature-rich, random test data generator.
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.
The Declarative Data Generator
C++ Faker library for generating fake (but realistic) data.
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
A library that creates fully populated objects for your unit tests.
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
Python data provider module that returns random people names, addresses, state names, country names as output. Useful for unit testing and automation.
Faker provider to generate E164 Phone Numbers
A Groovy DSL for creating test data via JPA
AWS Glue Configurable Test Data Generator for S3 Data Lakes and DynamoDB
International phone number generation
CLI utility for fake data generation
Fill a database with random data.
Generate random male and female names with real-world probability.
Create random test data for JPA/Hibernate entities.
Generate random values plug-in for Notepad++. Use this plugin to generate passwords, guids or random datasets in CSV, JSON, XML and SQL formats. Use the fake test data for performance and QA testing to improve software quality in application development, reports, database modeling, webdev etc.
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