Data Pipeline

Prefect

Prefect Testing Patterns: Testing Flows, Tasks, and Caching Behavior

Prefect 2 has a developer-friendly testing story. Flows and tasks are plain Python functions with decorators — you can call them directly in tests, run them with local storage instead of remote infrastructure, and control state management without spinning up Prefect Cloud. This guide covers the full testing surface: task

Apache Airflow

Apache Airflow DAG Testing: pytest, DagBag Assertions, and Task Isolation

Apache Airflow DAGs fail in production in ways that no amount of YAML linting will catch. A DAG that imports correctly can still fail to load in the scheduler. A task that works in isolation can deadlock in the context of a specific execution date. An operator that runs fine