{"repo":"feluelle/airflow-diagrams","free":true,"listed":false,"github":"https://github.com/feluelle/airflow-diagrams","clone":"git clone https://github.com/feluelle/airflow-diagrams.git","description":"Auto-generated Diagrams from Airflow DAGs. 🔮 🪄","language":"Python","stars":360,"topics":["airflow","diagrams","auto-generated","python","cli"],"license":"Apache-2.0","category":"data-pipelines","readme_excerpt":"airflow-diagrams 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 --- --- 🚀 Get started To install it from PyPI run: NOTE: Make sure you have Graphviz installed. Then just call it like this: Examples of generated diagrams can be found in the examples directory. 🤔 How it Works 1. ℹ️ It connects, by using the official Apache Airflow Python Client, to your Airflow installation to retrieve all DAGs (in case you don't specify any dag id ) and all Tasks for the DAG(s). 1. 🪄 It processes every DAG and its Tasks and 🔮 tries to find a diagram node for every DAGs task, by using Fuzzy String Matching, that matches the most. If you are unhappy about the match you can also provide a mapping.yml file to statically map from Airflow task to diagram node. 1. 🎨 It renders the results into a python file which can then be executed to retrieve the rendered diagram. 🎉 ❤️ Contributing Contributions are very welcome. Please go ahead and raise an issue if you have one or open a PR. Thank you.","default_branch":null,"files":null,"tree":[],"storefront":"/r/feluelle","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/feluelle/airflow-diagrams/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}