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databricks Platform · Updated Aug 17, 2026

Manage project environments with %uv commands

You can now use %uv init, %uv add, and %uv sync in serverless notebooks running environment version 5 or above to create a Python project, add dependencies, and sync its environment.

What it does

You can now use %uv init, %uv add, and %uv sync in serverless notebooks running environment version 5 or above to create a Python project, add dependencies, and sync its environment. Notebook scoped libraries let you create, modify, save, reuse, and share custom Python environments that are specific to a notebook. When you install a notebook scoped library, only the current notebook and any jobs associated with that notebook have access to that library.

Why it matters

Faster installs with %uv pip note %uv pip is only available on serverless notebooks running environment version 5 or above.

Architecture
Databricks Platform → Platform
In short

You can now use %uv init, %uv add, and %uv sync in serverless notebooks running environment version 5 or above to create a Python project, add dependencies, and sync its environment.

Read the full documentation ↗
Key takeaway
You can now use %uv init, %uv add, and %uv sync in serverless notebooks running environment version 5 or above to create a Python project, add dependencies, and sync its environment.
2026-08-17-manage-project-environments-with-uv-commands Generated by the Databricks Updates Agent · browse all updates