uv-package-manager · git:20260731.f6add68 · 2026-07-31 · sha256 7e53602875215d82
uv-package-manager git:20260731.f6add68B
Immutable. This exact content never changes and is served at /api/v1/blob/7e53602875215d82.
---
name: uv-package-manager
description: The uv package manager for fast Python dependency management, virtual environments, and modern project workflows.
when_to_use: Setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
user-invocable: false
---
# UV Package Manager
Comprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project management and dependency workflows.
## Core Concepts
### 1. What is uv?
- **Ultra-fast package installer**: 10-100x faster than pip
- **Written in Rust**: Leverages Rust's performance
- **Drop-in pip replacement**: Compatible with pip workflows
- **Virtual environment manager**: Create and manage venvs
- **Python installer**: Download and manage Python versions
- **Resolver**: Advanced dependency resolution
- **Lockfile support**: Reproducible installations
### 2. Key Features
- Blazing fast installation speeds
- Disk space efficient with global cache
- Compatible with pip, pip-tools, poetry
- Comprehensive dependency resolution
- Cross-platform support (Linux, macOS, Windows)
- No Python required for installation
- Built-in virtual environment support
### 3. UV vs Traditional Tools
- **vs pip**: 10-100x faster, better resolver
- **vs pip-tools**: Faster, simpler, better UX
- **vs poetry**: Faster, less opinionated, lighter
- **vs conda**: Faster, Python-focused
## Installation
### Quick Install
```bash
# 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
```
### Verify Installation
```bash
uv --version
# uv 0.x.x
```
## Quick Start
### Create a New Project
```bash
# 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 Dependencies
```bash
# 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
```
## Virtual Environment Management
### Pattern 1: Creating Virtual Environments
```bash
# 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
```
### Pattern 2: Activating Virtual Environments
```bash
# 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
```
### Pattern 3: Using uv run
```bash
# 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
```
## Package Management
### Pattern 4: Adding Dependencies
```bash
# 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/repo.git@v1.0.0
# Add from local path
uv add ./local-package
# Add editable local package
uv add -e ./local-package
```
### Pattern 5: Removing Dependencies
```bash
# Remove package
uv remove requests
# Remove dev dependency
uv remove --dev pytest
# Remove multiple packages
uv remove numpy pandas matplotlib
```
### Pattern 6: Upgrading Dependencies
```bash
# 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
```
### Pattern 7: Locking Dependencies
```bash
# 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
```
## Python Version Management
### Pattern 8: Installing Python Versions
```bash
# 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
```
### Pattern 9: Setting Python Version
```bash
# 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 Configuration
### Pattern 10: pyproject.toml with uv
```toml
[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" }
```
### Pattern 11: Using uv with Existing Projects
```bash
# 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](references/advanced-patterns.md)