Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
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Comprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project management and dependency workflows.
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows (PowerShell)
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
# Using pip (if you already have Python)
pip install uv
# Using Homebrew (macOS)
brew install uv
# Using cargo (if you have Rust)
cargo install --git https://github.com/astral-sh/uv uv
uv --version
# uv 0.x.x
# Create new project with virtual environment
uv init my-project
cd my-project
# Or create in current directory
uv init .
# Initialize creates:
# - .python-version (Python version)
# - pyproject.toml (project config)
# - README.md
# - .gitignore
# Install packages (creates venv if needed)
uv add requests pandas
# Install dev dependencies
uv add --dev pytest black ruff
# Install from requirements.txt
uv pip install -r requirements.txt
# Install from pyproject.toml
uv sync
# Create virtual environment with uv
uv venv
# Create with specific Python version
uv venv --python 3.12
# Create with custom name
uv venv my-env
# Create with system site packages
uv venv --system-site-packages
# Specify location
uv venv /path/to/venv
# Linux/macOS
source .venv/bin/activate
# Windows (Command Prompt)
.venv\Scripts\activate.bat
# Windows (PowerShell)
.venv\Scripts\Activate.ps1
# Or use uv run (no activation needed)
uv run python script.py
uv run pytest
# Run Python script (auto-activates venv)
uv run python app.py
# Run installed CLI tool
uv run black .
uv run pytest
# Run with specific Python version
uv run --python 3.11 python script.py
# Pass arguments
uv run python script.py --arg value
# Add package (adds to pyproject.toml)
uv add requests
# Add with version constraint
uv add "django>=4.0,<5.0"
# Add multiple packages
uv add numpy pandas matplotlib
# Add dev dependency
uv add --dev pytest pytest-cov
# Add optional dependency group
uv add --optional docs sphinx
# Add from git
uv add git+https://github.com/user/repo.git
# Add from git with specific ref
uv add git+https://github.com/user/[email protected]
# Add from local path
uv add ./local-package
# Add editable local package
uv add -e ./local-package
# Remove package
uv remove requests
# Remove dev dependency
uv remove --dev pytest
# Remove multiple packages
uv remove numpy pandas matplotlib
# Upgrade specific package
uv add --upgrade requests
# Upgrade all packages
uv sync --upgrade
# Upgrade package to latest
uv add --upgrade requests
# Show what would be upgraded
uv tree --outdated
# Generate uv.lock file
uv lock
# Update lock file
uv lock --upgrade
# Lock without installing
uv lock --no-install
# Lock specific package
uv lock --upgrade-package requests
# Install Python version
uv python install 3.12
# Install multiple versions
uv python install 3.11 3.12 3.13
# Install latest version
uv python install
# List installed versions
uv python list
# Find available versions
uv python list --all-versions
# Set Python version for project
uv python pin 3.12
# This creates/updates .python-version file
# Use specific Python version for command
uv --python 3.11 run python script.py
# Create venv with specific version
uv venv --python 3.12
[project]
name = "my-project"
version = "0.1.0"
description = "My awesome project"
readme = "README.md"
requires-python = ">=3.8"
dependencies = [
"requests>=2.31.0",
"pydantic>=2.0.0",
"click>=8.1.0",
]
[project.optional-dependencies]
dev = [
"pytest>=7.4.0",
"pytest-cov>=4.1.0",
"black>=23.0.0",
"ruff>=0.1.0",
"mypy>=1.5.0",
]
docs = [
"sphinx>=7.0.0",
"sphinx-rtd-theme>=1.3.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = [
# Additional dev dependencies managed by uv
]
[tool.uv.sources]
# Custom package sources
my-package = { git = "https://github.com/user/repo.git" }
# Migrate from requirements.txt
uv add -r requirements.txt
# Migrate from poetry
# Already have pyproject.toml, just use:
uv sync
# Export to requirements.txt
uv pip freeze > requirements.txt
# Export with hashes
uv pip freeze --require-hashes > requirements.txt
For advanced workflows including Docker integration, lockfile management, performance optimization, tool comparison, common workflows, tool integration, troubleshooting, best practices, migration guides, and command reference, see references/advanced-patterns.md
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).