celery-patterns

What problem does it solve?

Celery patterns enable Python applications to run tasks asynchronously with robust retry strategies, scheduling, and complex workflow orchestration across multiple workers.

Core Features & Use Cases

• Task definitions and automatic discovery across apps
• Retry strategies, timeouts, and progress tracking for long-running operations
• Complex workflows with chains, groups, chords, and periodic tasks
• Production-ready configuration with Redis or RabbitMQ backends and beat scheduler
• Monitoring and observability through standard Celery tooling

Quick Start

Configure Celery with a broker (e.g., Redis or RabbitMQ) and start the worker and beat services to begin processing tasks.