Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Aug 19, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Curated list of resources about Apache Airflow
Elyra extends JupyterLab with an AI centric approach.
A series of DAGs/Workflows to help maintain the operation of Airflow
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
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code
Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes
Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee
A plugin for Apache Airflow that allows you to edit DAGs in browser
CLI that makes it easy to create, test and deploy Airflow DAGs to Astronomer
Apache Airflow - OpenApi Client for Python
Example DAGs using hooks and operators from Airflow Plugins
A plugin for Apache Airflow that exposes rest end points for the Command Line Interfaces
Kubernetes custom controller and CRDs to managing Airflow
A Helm chart to install Apache Airflow on Kubernetes
A web frontend for scheduling Jupyter notebook reports
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