uv Expert

Comprehensive guidance for mastering uv, the extremely fast Python package and project manager written in Rust. This skill covers complex use cases including project management, scripts, tools, workspaces, Docker integration, CI/CD pipelines, and advanced dependency resolution strategies.

When to Use This Skill

Activate this skill when you need to:

•Manage Python projects with uv (create, configure, dependencies, lockfiles, workspaces)
•Run scripts with inline dependency metadata (PEP 723)
•Install and use tools (uvx, tool management)
•Manage Python versions (install, pin, upgrade multiple versions)
•Migrate from pip, poetry, or pipenv to uv
•Set up CI/CD pipelines with GitHub Actions, GitLab CI, or other platforms
•Containerize applications using uv in Docker
•Resolve complex dependency conflicts with advanced resolution strategies
•Work with monorepos using uv workspaces
•Use the pip interface for drop-in compatibility

Core Concepts

What is uv?

uv is an extremely fast Python package and project manager that:

•Replaces pip, pip-tools, pipx, poetry, pyenv, twine, virtualenv, and more
•Is 10-100x faster than pip
•Provides comprehensive project management with universal lockfiles
•Manages Python versions automatically
•Supports workspaces for monorepo management
•Uses global caching for disk efficiency
•Written in Rust for maximum performance

Key Components

Projects: Full-fledged Python projects with pyproject.toml, uv.lock, and virtual environments Scripts: Single-file Python scripts with inline dependency metadata Tools: Command-line tools installed and run via uvx (pipx replacement) Workspaces: Multiple related packages in a single repository with shared lockfile pip Interface: Drop-in replacement for pip, pip-tools, and virtualenv commands

Installation and Setup

Install uv

bash

# macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

# With pip (not recommended for production)
pip install uv

# Update uv
uv self update

Verify Installation

bash

uv --version
uv help

Quick Start Guide

1. Creating a Project

bash

uv init my-project              # Create new project
uv init                          # Initialize in existing directory
uv init --python 3.12 my-app    # Specify Python version
uv init --app my-app            # Application (no build-system)
uv init --lib my-lib            # Library (with build-system)

2. Managing Dependencies

bash

uv add requests                  # Add dependency
uv add 'flask>=3.0' --dev       # Add dev dependency
uv add git+https://github.com/user/repo  # From git
uv remove requests               # Remove dependency
uv lock --upgrade-package requests       # Upgrade specific
uv lock --upgrade                # Upgrade all

3. Running Code

bash

uv run main.py                   # Run in project environment
uv run python -c "import requests"       # Run command
uv sync && source .venv/bin/activate    # Manual activation

4. Scripts with Inline Dependencies

Create script.py with inline metadata:

python

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.12"
# dependencies = ["requests", "rich"]
# ///
import requests
from rich import print
print(requests.get("https://httpbin.org/json").json())

Run with: uv run script.py (dependencies auto-managed)

5. Tools (CLI applications)

bash

uvx ruff check .                 # Run tool temporarily
uv tool install ruff             # Install permanently
uv tool list                     # List installed tools

6. Python Version Management

bash

uv python install 3.12           # Install Python version
uv python list                   # List available versions
uv python pin 3.12               # Pin for project
uv run --python 3.11 script.py   # Use specific version

Common Workflows

Migration

bash

# From pip requirements.txt
uv init && uv add -r requirements.txt

# From Poetry (pyproject.toml recognized automatically)
uv init --no-readme && uv sync

# Using pip interface
uv pip install -r requirements.txt
uv pip compile requirements.in -o requirements.txt

Lockfile Management

bash

uv lock                          # Create/update lockfile
uv lock --upgrade-package requests       # Update specific package
uv sync --locked                 # Install from lockfile (error if out of sync)
uv sync --frozen                 # Install from lockfile (never update)

Export & Publishing

bash

uv export > requirements.txt     # Export dependencies
uv build                          # Build distributions
uv publish                        # Publish to PyPI

Advanced Features

Workspaces (Monorepo Management)

For projects with multiple related packages:

Root pyproject.toml:

toml

[project]
name = "my-workspace"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = ["shared-lib"]

[tool.uv.sources]
shared-lib = { workspace = true }

[tool.uv.workspace]
members = ["packages/*"]
exclude = ["packages/experimental"]

bash

# Run command in workspace root
uv run main.py

# Run in specific package
uv run --package shared-lib pytest

# Sync entire workspace
uv sync

See references/PROJECTS.md for detailed workspace configuration.

Dependency Overrides and Constraints

toml

[tool.uv]
# Override dependency versions
override-dependencies = [
    "numpy==1.24.0",  # Force specific version
]

# Constrain resolution
constraint-dependencies = [
    "pandas<2.0",  # Limit version range
]

Alternative Package Indexes

bash

# Use custom index
uv add --index https://custom-pypi.org/simple package-name

# Configure in pyproject.toml

toml

[[tool.uv.index]]
name = "custom"
url = "https://custom-pypi.org/simple"
default = true

Platform-Specific Dependencies

toml

[project]
dependencies = [
    "universal-package",
]

[project.optional-dependencies]
windows = ["pywin32; sys_platform == 'win32'"]
linux = ["systemd-python; sys_platform == 'linux'"]

Docker Integration

dockerfile

FROM python:3.12-slim
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/

WORKDIR /app
COPY pyproject.toml uv.lock ./
RUN uv sync --locked --no-dev

COPY . .
CMD ["uv", "run", "main.py"]

See references/INTEGRATIONS.md for multi-stage builds, caching, and optimization patterns.

GitHub Actions Integration

yaml

- uses: astral-sh/setup-uv@v7
  with:
    enable-cache: true
- run: uv python install
- run: uv sync --frozen --all-extras --dev
- run: uv run pytest

See references/INTEGRATIONS.md for complete workflows, matrix testing, and caching strategies.

Troubleshooting

Common Issues

Problem: No solution found when resolving dependencies Solution: Check for conflicting version constraints. Use --resolution lowest or override-dependencies.

Problem: Package not found in environment after uv add Solution: Ensure you run code with uv run or manually sync with uv sync.

Problem: Lockfile out of sync Solution: Run uv lock to regenerate, or uv sync --locked to enforce existing lockfile.

Problem: Python version not found Solution: uv will auto-download. To disable: export UV_NO_PYTHON_DOWNLOADS=1

Problem: Build failures for compiled packages Solution: Install system dependencies (e.g., apt-get install python3-dev build-essential)

Performance Tips

•Use caching in CI/CD with --cache-dir
•Enable bytecode compilation for production: UV_COMPILE_BYTECODE=1
•Use universal lockfiles for platform-independent resolution
•Leverage global cache - uv deduplicates dependencies automatically
•Use --no-install-project for intermediate Docker layers

Reference Files

For comprehensive documentation on specific topics:

•references/PROJECTS.md - Project structure, dependencies, workspaces, configuration
•references/SCRIPTS_TOOLS.md - Scripts, tools, inline metadata, reproducibility
•references/PYTHON_MANAGEMENT.md - Python installation, versions, discovery
•references/PIP_INTERFACE.md - pip compatibility, migration, uv pip commands
•references/INTEGRATIONS.md - Docker, CI/CD, pre-commit, dependency bots
•references/RESOLUTION.md - Resolution strategies, dependency overrides and constraints
•references/AUTHENTICATION.md - HTTP, Git, and third-party service authentication
•references/CACHING_PERFORMANCE.md - Caching mechanisms and performance tuning
•references/PLATFORM_INDEXES.md - Platform-specific dependencies and custom indexes
•references/DEBUG_TROUBLESHOOTING.md - Debug tools and issue resolution
•references/INTERNALS.md - Internals, best practices, and common patterns

Command Quick Reference

bash

# Project Management
uv init [--app|--lib] [--python VERSION] [PATH]
uv add [--dev] [--optional GROUP] PACKAGE
uv remove PACKAGE
uv sync [--locked] [--frozen] [--no-dev]
uv lock [--upgrade] [--upgrade-package PKG]
uv run [--python VERSION] [--no-project] COMMAND

# Scripts
uv init --script FILE.py
uv add --script FILE.py PACKAGE
uv run [--script] FILE.py
uv lock --script FILE.py

# Tools
uvx [--from PACKAGE] COMMAND
uv tool install [--from URL] PACKAGE
uv tool uninstall PACKAGE
uv tool upgrade [--all] PACKAGE
uv tool list

# Python Versions
uv python install [VERSION...]
uv python list [--only-installed]
uv python pin VERSION
uv python upgrade [VERSION]

# pip Interface
uv pip install PACKAGE
uv pip compile requirements.in -o requirements.txt
uv pip sync requirements.txt
uv venv [--python VERSION]

# Building & Publishing
uv build [--sdist|--wheel]
uv publish [--token TOKEN]

Best Practices

•Always use lockfiles (uv.lock) for reproducible builds
•Pin Python versions with .python-version files
•Use workspaces for monorepo management instead of path dependencies
•Separate dev and production dependencies with --dev flag
•Cache in CI/CD for faster builds
•Use scripts with inline metadata for shared utilities
•Install tools globally with uv tool install instead of in projects
•Test with --frozen in CI to ensure lockfile is up-to-date
•Use --no-install-project in Docker for better layer caching
•Enable bytecode compilation in production: UV_COMPILE_BYTECODE=1

Learning Resources

•Official Documentation: https://docs.astral.sh/uv/
•GitHub Repository: https://github.com/astral-sh/uv
•Docker Examples: https://github.com/astral-sh/uv-docker-example
•Changelog: https://github.com/astral-sh/uv/blob/main/CHANGELOG.md
•Discord Community: https://discord.com/invite/astral-sh

Next Steps

•Get familiar with basic project commands: uv init, uv add, uv run
•Practice scripts with inline dependencies for quick prototyping
•Explore workspaces if managing multiple related packages
•Set up CI/CD with caching for optimal performance
•Containerize your application using uv Docker best practices
•Deep dive into reference files for advanced features

For detailed information on any topic, consult the appropriate reference file or run uv help <command> for command-specific help.