UV is a cutting-edge Python package and project manager, designed to revolutionize the Python development workflow.
Written in Rust, UV offers unparalleled speed and functionality, serving as a unified replacement for tools like pip, poetry, pyenv, and virtualenv.
Its standout features make it an essential tool for developers managing Python projects of any scale.
Key Features Of UV
- Lightning-Fast Performance: UV is 10-100 times faster than traditional tools like pip, thanks to its efficient architecture.
- Comprehensive Project Management: It supports lockfiles, workspace management, dependency resolution, and reproducible environments.
- Python Version Management: UV allows seamless installation, switching, and pinning of Python versions across projects.
- Script Management: Dependencies for single-file scripts can be declared inline and executed in isolated environments.
- Tool Execution: UV can install and run command-line tools provided by Python packages without explicit installation.
- Pip-Compatible Interface: Developers can use familiar pip commands with UV for enhanced performance.
UV can be installed via multiple methods:
- Standalone Installer: bash
curl -LsSf https://astral.sh/uv/install.sh | sh # For macOS/Linux
powershellpowershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" # For Windows
- Pip or Pipx: bash
pip install uv pipx install uv
Once installed, UV can update itself using:
bashuv self update
UV simplifies project initialization and dependency management:
bashuv init my_project
uv add requests
uv lock
uv sync
It also supports building and publishing Python packages.
UV enables running scripts with inline dependency metadata:
bashuv add --script script.py requests
uv run script.py
UV handles Python installations with ease:
bashuv python install 3.11
uv python pin 3.11
Command-line tools can be installed and executed efficiently:
bashuv tool install ruff
ruff --version
By consolidating multiple tools into one fast and efficient manager, UV reduces complexity in Python development workflows while improving speed and reliability.
It is ideal for developers seeking a modern solution to manage dependencies, projects, and Python environments seamlessly.