astronomer

Construct Apache Airflow DAGs Declaratively via YAML configuration files

Run your dbt (Core, Fusion, OSS) projects as Apache Airflow DAGs and Task Groups with a few lines of code

An SDK for working with LLMs and AI Agents from Apache Airflow, based on Pydantic AI

Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes

CLI that makes it easy to create, test and deploy Airflow DAGs to Astronomer

AI agent tooling for data engineering workflows.

Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.

A Helm chart to install Apache Airflow on Kubernetes

An end-to-end LLM reference implementation providing a Q&A interface for Airflow and Astronomer

A repository of sample code to accompany our blog post on Airflow and dbt.

Airflow Providers containing Deferrable Operators & Sensors from Astronomer

Astronomer Core Docker Images

Airflow 3 demos from DevRel

A repository of sample code to show data quality checking best practices using Airflow.

A template repo for building and releasing Airflow provider packages.

Sample Airflow DAGs

Demo DAGs that show how to run dbt Core in Airflow using Cosmos