Prefect, an open-source workflow orchestration framework, has released a new version that enables Python developers to build resilient, dynamic data pipelines with minimal code. The framework, which requires Python 3.10 or later, allows users to transform simple scripts into production-grade workflows featuring scheduling, caching, retries, and event-based automation.
How It Works
Prefect uses decorators to define flows and tasks. For example, a flow named "GitHub Stars" can fetch star counts from multiple repositories using a simple task decorated with `@task`. The framework handles retries, dependencies, and complex branching logic automatically. Users can monitor workflow activity through a self-hosted Prefect server or the managed Prefect Cloud dashboard.
Deployment and Scheduling
To run a workflow on a schedule, users can turn a flow into a deployment with the `.serve()` method, specifying a cron expression and parameters. The deployment can then be executed manually via the UI or CLI, or triggered by events. Prefect Cloud, which automates over 200 million data tasks monthly, is used by organizations ranging from Fortune 50 companies like Progressive Insurance to fintech firms like Cash App.
Community and Ecosystem
Prefect boasts a community of over 25,000 practitioners. Users can access comprehensive documentation, join the Slack community, contribute to the project, or explore integrations. The framework also offers a lighter-weight `prefect-client` for communicating with Prefect Cloud or remote servers in ephemeral environments.