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.