Automgen

Automgen

Automgen is an open-source test data generator that can automatically generate realistic test data for applications. It supports various data types like names, addresses, phone numbers, emails, dates, numbers, and more.
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test-data data-generation automation

Automgen: Open-Source Test Data Generator

Automatically generate realistic test data for applications with Automgen, a free and open-source software that supports various data types.

What is Automgen?

Automgen is an open source test data generator that can automatically create realistic, comprehensive test datasets for software testing and development. It eliminates the need to manually create dummy data for testing purposes.

Some key features of Automgen:

  • Supports a wide variety of data types - names, addresses, phone numbers, emails, dates, numbers, etc.
  • Data is randomly generated but structured to look authentic
  • Highly customizable - control over data types, formats, distributions, duplicates
  • Can generate up to millions of records per dataset
  • Output in multiple formats like JSON, XML, CSV, etc.
  • Command line interface and API for easy integration
  • Platform independent and works with any programming language

Automgen is useful for programmers, QA professionals, and developers that need representative fake datasets for application testing, mocking production data, training machine learning models, and more. It saves significant time and effort over manually creating test data.

Automgen Features

Features

  1. Automatic generation of realistic test data
  2. Support for various data types (names, addresses, phone numbers, emails, dates, numbers, etc.)
  3. Open-source and free to use
  4. Command-line interface and API for integration with other tools
  5. Customizable data generation rules and templates
  6. Ability to generate large volumes of test data

Pricing

  • Open Source

Pros

Free and open-source

Wide range of supported data types

Customizable data generation rules

Scalable and can generate large volumes of data

Easy integration with other tools

Cons

Limited user interface, primarily command-line based

May require some technical expertise to set up and configure

Fewer features compared to some commercial test data generation tools


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