Databricks Project Accelerators¶

A CLI tool that scaffolds production-ready Databricks solutions via Jinja2 templates and Databricks Asset Bundles.

Quickstart¶

Open an empty folder in VS Code, then run in the terminal:

pip install databricks-project-accelerators

dpa list                    # browse available accelerators
dpa init medallion-sdp      # scaffold a project

cd medallion-sdp
databricks bundle deploy    # deploy to your workspace
databricks bundle run medallion_sdp_job

Available accelerators¶

Accelerator	What you get
`ai-bi`	Lakeview dashboard + Genie Space with a metric view over the TPCH sample dataset
`custom-python-wheel`	Custom Python wheel package with a build-and-upload job and an import verification task
`lakebase-streamlit-app`	Databricks App (Streamlit) wired to a SQL warehouse, plus Lakebase Postgres master data
`medallion-dbt`	dbt SQL models — bronze views, silver joins, gold aggregates, run via native dbt_task
`medallion-sdp`	Delta Live Tables pipeline — declarative bronze/silver/gold with data quality constraints
`mlflow-project`	MLflow training pipeline — experiment tracking, model registry, batch scoring

See Getting Started for a full walkthrough including authentication, environment targeting, and variable overrides.