Back to feed
Dev.to
Dev.to
6/29/2026
The original title is "How we parse Apache Airflow DAGs without importing Airflow"

The original title is "How we parse Apache Airflow DAGs without importing Airflow"

Original: How we parse Apache Airflow DAGs without importing Airflow

Short summary

Leoflow parses Apache Airflow DAGs without importing Airflow by using a structural shim that captures DAG structure at compile time, then executes real operators at runtime in task pods. This approach eliminates GIL overhead in the Go-based control plane, removes parse-time side effects, and avoids dependency hell while maintaining full operator fidelity.

  • Structural shim mimics Airflow API to capture DAG graphs without executing code
  • Go control plane stays fast and GIL-free; real operators run in isolated pod images
  • Provider operators captured as data (dotted path + kwargs) at compile, instantiated at runtime

Generated with AI, which can make mistakes.

Is this a good recommendation for you?

Comments

Failed to load comments. Please try again.

Explore more