A modular, event-driven event sourcing library for Python. Orchestrix helps you build scalable, maintainable, and testable systems by combining event sourcing, CQRS, and asynchronous messaging in a architecture. Ideal for complex business domains, microservices, and distributed workflows.
Project description
Orchestrix Library
A modular, event-driven event sourcing library for Python.
Overview
Orchestrix helps you build scalable, maintainable, and testable systems by combining event sourcing, CQRS, and asynchronous messaging. It is designed for complex business domains, microservices, and distributed workflows.
Problem Statement
Building robust, auditable, and extensible business systems is hard. Orchestrix solves this by:
- Decoupling business logic from infrastructure
- Enabling full event history and traceability
- Supporting asynchronous, event-driven workflows
- Making testing and local development easy (in-memory backends)
- Providing production-ready persistence and observability
Components
Core
- Messaging: Message bus, commands, events, and handlers
- Event Sourcing: Aggregates, event store, snapshots, and projections
- Execution: Sagas and retry policies
- Common: Logging, validation, and observability
Infrastructure
- Memory: In-memory implementations for testing
- PostgreSQL: Production-ready event store and connection pooling
- Observability: Prometheus metrics and Jaeger tracing
Usage
Install the built wheel in your project and use the provided building blocks to implement your own event-driven, event-sourced applications.
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