Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Jan 30, 2025 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Elyra extends JupyterLab with an AI centric approach.
A series of DAGs/Workflows to help maintain the operation of Airflow
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
Dynamically generate Apache Airflow DAGs from YAML configuration files
Example end to end data engineering project.
A Data Engineering & Machine Learning Knowledge Hub
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Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code
Turbine: the bare metals that gets you Airflow
Apache Airflow - OpenApi Client for Python
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
Example DAGs using hooks and operators from Airflow Plugins
Auto-generated Diagrams from Airflow DAGs. 🔮 🪄
A plugin for Apache Airflow that exposes rest end points for the Command Line Interfaces
Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)
Add a description, image, and links to the airflow topic page so that developers can more easily learn about it.
To associate your repository with the airflow topic, visit your repo's landing page and select "manage topics."