Auto-generated Diagrams from Airflow DAGs. 🔮 🪄
This project aims to easily visualise your Airflow DAGs on service level from providers like AWS, GCP, Azure, etc. via diagrams.
| Before | After |
|---|---|
 |  |
To install it from PyPI run:
pip install airflow-diagrams
NOTE: Make sure you have Graphviz installed.
Then just call it like this:
Examples of generated diagrams can be found in the examples directory.
dag_id) and all Tasks for the DAG(s).mapping.yml file to statically map from Airflow task to diagram node.Contributions are very welcome. Please go ahead and raise an issue if you have one or open a PR. Thank you.
FAQs
Auto-generated Diagrams from Airflow DAGs.
We found that airflow-diagrams demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Malicious Go packages are impersonating popular libraries to install hidden loader malware on Linux and macOS, targeting developers with obfuscated payloads.
Security News
Bybit's $1.46B hack by North Korea's Lazarus Group pushes 2025 crypto losses to $1.6B in just two months, already surpassing all of 2024's $1.49B total.
Security News
OpenSSF has published OSPS Baseline, an initiative designed to establish a minimum set of security-related best practices for open source software projects.