UV

docs.astral.sh

Ultra-fast Python package and project manager written in Rust by Astral.

Overview

uv is a single tool that replaces pip, pip-tools, pipx, poetry, pyenv, twine, virtualenv, and more. Written in Rust, it delivers 10-100x faster performance than pip while providing comprehensive project management with universal lockfiles, script execution with inline dependencies, Python version management, and tool installation capabilities.

The tool supports both simple workflows—like running standalone scripts with dependency metadata—and complex scenarios including Cargo-style workspaces, platform-independent resolutions, and reproducible builds. It offers a pip-compatible interface for familiar workflows with a performance boost, plus disk-space efficiency through global dependency caching.

uv is installable without requiring Rust or Python, runs on macOS, Linux, and Windows, and is backed by Astral, the creators of Ruff.

Key features

10-100x faster than pip
Unified tool replacing pip, poetry, pyenv, pipx, and more
Universal lockfiles for reproducible builds
Inline script dependency metadata
Python version installation and management
Cargo-style workspace support
Global dependency cache for disk efficiency
pip-compatible interface
Cross-platform support (macOS, Linux, Windows)

Pros

Dramatically faster performance than traditional tools
Single tool consolidates multiple Python utilities
No Rust or Python required for installation
Comprehensive project and script management
Familiar pip interface for easy migration
Efficient caching reduces disk usage

Cons

pip interface does not exactly match pip behavior in all cases
Requires familiarity with new command structure for advanced features
Relatively newer tool compared to established alternatives

Use this if

You need a fast, unified Python package manager; you're migrating from pip, poetry, or pyenv; you work with monorepos; or you want to replace multiple Python tools with a single solution.

Skip this if

You require exact pip compatibility for all edge cases; you prefer pure Python implementations; or you need commercial support.

Best for

Python developers managing dependenciesTeams using monorepos and workspacesDevelopers migrating from pip or poetryRunning and installing Python-based CLI toolsManaging multiple Python versionsBuilding and publishing Python packages

Alternatives

pippoetrypipenvryepdm

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