A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

experimental jupyter notebook plugin GUI for defining probabilistic models in PyMC3

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.