A web frontend for scheduling Jupyter notebook reports

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

Orchestration of data science and earth observation models in Apache Airflow, scale-up with Celery Executor, experiment with jupyter notebook using a docker containers composition

This is my software development notebook.

An extension enabling the monitoring of Apache Airflow DAGs directly from Jupyter notebooks. Tailored for developers and data scientists, it simplifies tracking specific DAGs, reduces unnecessary friction, and allows severity levels setup for failed DAGs.