This repository provides a collection of reusable code snippets and templates, termed "recipes," for implementing common patterns and advanced use cases within the Prefect workflow orchestration framework. It targets Prefect users seeking practical examples for building efficient, observable, and maintainable data pipelines and workflows across various cloud platforms and tools.

How It Works

The repository is structured around categories of Prefect functionality, such as Subflows, Control Flow, Optimization, Notifications, and Observability, alongside integrations with specific technologies like AWS, Azure, GCP, Docker, Kubernetes, dbt, and Airbyte. Each "recipe" is a self-contained Python script or configuration demonstrating a specific pattern, often leveraging Prefect's Blocks for configuration management and infrastructure integration. This approach facilitates learning and adoption by providing concrete, runnable examples for complex orchestration tasks.

Quick Start & Requirements

• Primary install/run command: git clone git@github.com:PrefectHQ/prefect-recipes.git followed by standard Python execution of individual recipe scripts.
• Prerequisites: Python environment with Prefect installed (pip install prefect). Specific recipes may require additional libraries or cloud provider configurations as detailed within their respective code or documentation.
• Links: Prefect Documentation, Prefect Community

Highlighted Details

• Extensive coverage of cloud infrastructure patterns for AWS, Azure, and GCP.
• Recipes for integrating with popular data tools like dbt, Airbyte, and Snowflake.
• Examples demonstrating advanced Prefect features such as subflows, task caching, and state dependencies.
• Includes patterns for CI/CD integration with GitHub Actions and Docker.

Maintenance & Community

The repository is actively maintained by PrefectHQ. Contributions are encouraged, with a process outlined for submitting new recipes. Discussion and support are available via the Prefect Slack Community and Discourse forum.

Licensing & Compatibility

The repository's license is not explicitly stated in the provided README. Users should verify licensing for commercial use or integration with closed-source projects.

Limitations & Caveats

The repository contains code snippets and examples, not a cohesive library. Users are responsible for adapting and integrating these recipes into their specific environments and workflows. Some recipes may require specific versions of dependencies or cloud configurations not detailed upfront.