uv-package-manager

To manage Python dependencies in a monorepo using uv, the tool reads and updates pyproject.toml and uv.lock to enable consistent tooling across multiple packages and CI pipelines. It supports workspace bootstrapping for unified project workflows.

You can migrate existing pip workflows to uv for Python dependency management because uv supports pip-compatible workflows. It supplements or replaces pip by providing fast installs, lockfile support, and automated virtual environment creation.

The best way to start a new Python project with uv is using uv init, adding dependencies with uv add, and installing them with uv sync. You then create a virtual environment and run your app with uv run.

You do not need to manually activate virtual environments when using uv, because it handles virtual environment creation and management including automatic activation and project-specific Python versions for your workspace.

uv supports CI pipelines and automated Python project synchronization by maintaining existing Python workspaces and executing commands via the shell. It reads and updates lockfiles to reduce setup time and drift across projects.

Using uv over other Python dependency management tools provides fast installs and lockfile support while optimizing project workflows. It reduces setup time and drift across projects, including monorepos and CI pipelines.