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Releases: rapiddweller/datamimic

DATAMIMIC CE v1.1.1

03 Jan 06:28
@ake2l ake2l
1.1.1
1868e22
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DATAMIMIC CE v1.1.1 Latest
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We are excited to announce a new release of DATAMIMIC Community Edition! This release focuses on code quality improvements, enhanced testing, and better developer experience while maintaining our commitment to providing advanced test data generation capabilities under the MIT license.

What's New in This Release

Code Quality & Development Improvements

  • Enhanced project configuration with improved type checking using mypy and ruff
  • Refactored codebase with better type hints and improved code clarity
  • Improved error handling and logging in database clients and exporters
  • Enhanced condition handling for more robust data generation
  • Updated documentation with clearer README and new RELEASE.md for better release management

Core Features Reminder

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 & Resources

License

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

  • Commercial use
  • Modification
  • Distribution
  • Private use

Looking Ahead

We continue to focus on improving code quality and developer experience while maintaining our commitment to providing powerful test data generation capabilities. We welcome contributions and feedback from our community.

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

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DATAMIMIC CE v1.1.0

12 Dec 09:15
@ake2l ake2l
1.1.0
485b2fc
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DATAMIMIC CE v1.1.0

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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