databricks-app-python

The Skill supports deploying Python web applications using Streamlit, Dash, Flask, FastAPI, Gradio, and Reflex directly on Databricks. You can deploy these frameworks using the Databricks CLI or Databricks Asset Bundles.

Authentication for Databricks apps supports both service principal credentials for application-level access and on-behalf-of user tokens for user-specific authorization. This dual approach ensures secure access control when querying Lakebase databases or other resources.

Yes, you can connect FastAPI applications to Databricks SQL warehouses. The Skill facilitates resource management through a declarative app.yaml configuration, enabling your web application to query data directly from the warehouse.

The best way to manage Databricks app configurations is using a declarative app.yaml file. This configuration manages connections to Databricks resources like SQL warehouses, Lakebase databases, and model serving endpoints.

Yes, deploying Dash and Gradio web applications is fully supported via Databricks Asset Bundles (DABs). This deployment method streamlines packaging and releasing your Python web applications directly within the Databricks environment.

Using a declarative app.yaml configuration to integrate resources into a Flask app standardizes connections to Databricks SQL warehouses and model serving endpoints. This approach abstracts infrastructure management, allowing developers to focus on application logic.