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DATAMIMIC CE v1.1.0
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@ake2l ake2l released this 12 Dec 09:15
· 10 commits to development since this release
1.1.0
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We are excited to announce the first open source release of DATAMIMIC Community Edition under the MIT license! This release marks a significant milestone in making advanced test data generation accessible to everyone.

Overview

DATAMIMIC CE is an AI-powered, model-driven platform that revolutionizes test data generation. Built with Python 3.10+, it enables developers and testers to create realistic, scalable, and privacy-compliant test data efficiently.

Key Features

Core Capabilities

  • Model-Driven Data Generation: Create and manage sophisticated data models using XML-based configuration
  • Advanced Data Transformation: Transform various inputs into abstract entities for flexible output formats
  • Multi-Format Support: Generate data in JSON, XML, CSV, RDBMS, and MongoDB formats
  • High-Performance Engine: Optimized for handling large data volumes efficiently
  • Privacy-First Design: Built-in anonymization and pseudonymization capabilities

Development Features

  • Python Integration: Seamless integration with Python 3.10+ projects
  • Extensible Architecture: Custom generators and scripts support
  • Database Connectivity: Direct integration with various database systems
  • Validation Framework: Define and enforce custom data validation rules

Installation

pip install datamimic-ce

System Requirements

  • Python 3.10 or higher
  • Supported OS: Windows, macOS, Linux

Documentation

Comprehensive documentation is available at:

Community and Support

License

DATAMIMIC CE is now available under the MIT License, allowing for both personal and commercial use with the following permissions:

  • Commercial use
  • Modification
  • Distribution
  • Private use

Looking Ahead

This release represents our commitment to the open source community. We encourage contributions and feedback as we continue to enhance DATAMIMIC CE with new features and improvements.

For enterprise features and support, check out DATAMIMIC Enterprise Edition at https://datamimic.io

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