Python Microsoft Fabric integrations

Manage Fabric workspaces, run notebooks and pipelines, and work with OneLake from Python.

Get started

Start here if this is your first Fabric connection - from Dashboard configuration to listing workspaces from Python.

Tutorial
service.py

Workspaces and data

Tutorial Start here if this is your first Fabric connection to Zato. Workspaces Listing, creating and managing workspaces your connection has access to. Lakehouses Lakehouse items, loading data, tables and files in your workspaces. OneLake Shortcuts plus reading and writing files through the OneLake data plane. On-premise systems Notebooks and pipelines reaching on-premise databases through one HTTPS endpoint, with no data gateway.

Run and analyze

Notebooks Running Spark notebooks on demand, the analytics and ML execution path. Pipelines Data Factory pipeline runs, monitoring and cancellation from your services. Data science ML models and experiments, triggering training and reading model metadata. Reports Power BI reports and semantic models, refreshing datasets after data loads.