← All updates Databricks Update One-Pager Light version
databricks Platform · Updated Mar 17, 2026

Databricks Apps supports uv for Python dependency management

You can now use uv to manage Python dependencies in your Databricks apps using pyproject.toml and uv.lock.

What it does

You can now use uv to manage Python dependencies in your Databricks apps using pyproject.toml and uv.lock. After you create and develop your Databricks app, deploy it to make it accessible in the Databricks workspace. Deployment builds your app, installs dependencies, and runs it using the configuration defined in your project files.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Architecture
Databricks Platform → Platform
In short

You can now use uv to manage Python dependencies in your Databricks apps using pyproject.toml and uv.lock. After you create and develop your Databricks app, deploy it to make it accessible in the Databricks workspace.

Read the full documentation ↗
Key takeaway
You can now use uv to manage Python dependencies in your Databricks apps using pyproject.toml and uv.lock.
2026-03-17-databricks-apps-supports-uv-for-python-dependency-management Generated by the Databricks Updates Agent · browse all updates