Data State Machine

A framework for managing complex data workflows and state transitions in enterprise applications.

Overview

The Data State Machine is a robust framework designed to handle complex data workflows in enterprise applications. It provides a structured way to manage data as it moves through different states, ensuring consistency and reliability throughout the process.

Key Features

• State-based data management with strict validation and transition rules
• Configurable workflows that can adapt to different business processes
• Built-in versioning and audit trails for all data state changes
• Support for complex business rules and conditional transitions
• Integration capabilities with existing enterprise systems

Technical Details

Built using TypeScript and following domain-driven design principles, the framework provides a type-safe way to define and manage data states. It includes features like state validation, transition guards, and event handling.