Airflow Dags Python Packages

airflow-common

Common Airflow Operators / Tasks

stabilize

Queue-Based State Machine - A lightweight workflow execution engine with DAG-based stage orchestration. Unlike simple task queues (like Celery) or advanced orchestrators (like Highway), Stabilize strikes a balance specifically optimized for high-throughput, stateful DAG execution, making it highly suitable for coordinating autonomous AI agents

tulflow

TU Libraries Python Library for functions used in indexing ETL, particularly for Airflow

astro-provider-databricks

Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows

airflow-common-operators

Common Airflow Operators / Tasks

custom-deferrable-dataflow-operator

Start your Dataflow jobs execution directly from the Triggerer without going to the Worker!

simple-dag-editor

Zero configuration Airflow plugin that let you manage your DAG files.

apache-airflow-flowitems

This package helps to reduce the amount of boilerplate code when creating Airflow DAGs from Python callables.

dagruff

An fast linter for Apache Airflow DAG files. Catches common errors, enforces best practices. 31+ rules with auto-fix. No Airflow installation needed for AST checks.

dag-schedule-graph

Airflow plugin for visualising DAG schedules within 24 hour window of a day.