uv

Fast Python package and project manager with built-in virtual environment management.

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Install skill "uv" with this command: npx skills add knoopx/pi/knoopx-pi-uv

uv

Fast Python package and project manager with built-in virtual environment management.

Project Setup

uv init my-app # App project uv init my-lib --lib # Library project uv init --script script.py # Standalone script uv python pin 3.11 # Pin Python version

Dependencies

uv add requests # Add dependency uv add --dev pytest # Add dev dependency uv add --optional ml scikit-learn # Add optional uv remove requests # Remove dependency uv tree # Show dependency tree uv lock # Update lockfile only uv export > requirements.txt # Export to requirements.txt

Virtual Environment

uv sync # Sync dependencies uv sync --no-dev # Skip dev deps uv sync --all-extras # Include all optional uv sync --refresh # Recreate venv

Running Code

uv run python script.py # Run script uv run -m pytest # Run module uv run --with requests script.py # Temp dependency uv run --extra ml train.py # Use optional deps uv run --env-file .env script.py # Load .env

Python Management

uv python list # List versions uv python install 3.12 # Install version uv python pin 3.11 # Set project version uv python upgrade --all # Upgrade all

Tools

uvx ruff check . # Run tool once uv tool install ruff # Install globally uv tool list # List tools uv tool upgrade ruff # Upgrade tool

Building & Publishing

uv build # Build distributions uv publish # Publish to PyPI

Project Versioning

uv version # Show current version uv version 1.2.3 # Set version uv version --bump major # Bump major version uv version --bump minor # Bump minor version uv version --bump patch # Bump patch version

Code Formatting

uv format # Format Python code uv format --check # Check formatting without changes

Authentication

uv auth login # Login to package index uv auth logout # Logout from package index uv auth status # Show authentication status

pyproject.toml

[project] name = "my-project" version = "0.1.0" requires-python = ">=3.9" dependencies = ["requests>=2.31.0"]

[project.optional-dependencies] ml = ["scikit-learn>=1.0.0"]

[dependency-groups] dev = ["pytest>=7.0.0", "ruff>=0.1.0"]

Tips

  • uv run handles venv automatically

  • Commit uv.lock for reproducibility

  • Use --with for one-off dependencies

  • uvx for running tools without install

  • uv sync --locked in CI

  • Tools are isolated from project deps

  • Fast: 10-100x faster than pip

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