How does uv handle Python versions?

uv can natively download, install, and manage specific Python versions (e.g., 3.11, 3.12), eliminating the need for external managers like pyenv.

Is uv compatible with CI/CD platforms like GitHub Actions?

Yes, the skill includes patterns for using the official setup-uv action, which leverages caching to drastically reduce pipeline execution times.

Why use uv over pip or poetry?

uv is written in Rust and is 10-100x faster than pip, offering superior dependency resolution, built-in virtual environment management, and a lighter footprint than poetry.

Can I use uv with existing projects?

Absolutely. The skill provides workflows for migrating from requirements.txt, poetry, and other standard formats without breaking existing configurations.

Does this skill help with Docker optimization?

Yes, it includes specific patterns for multi-stage Docker builds and frozen installations to create smaller, faster-to-build, and more secure Python images.

UV Python Package Manager

Name: UV Python Package Manager
Author: prof-ramos

byprof-ramos

•

Developer Tools

Manages Python dependencies and virtual environments with extreme speed using the Rust-based uv tool.

About

The uv-package-manager skill provides comprehensive guidance for using Astral's uv, an ultra-fast Python package installer and resolver written in Rust. This skill helps developers significantly accelerate their Python workflows by replacing traditional tools like pip, pip-tools, and poetry with a high-performance alternative. It covers everything from project initialization and dependency management to advanced Python version handling, lockfile maintenance, and optimized Docker/CI-CD integrations, ensuring reproducible and efficient development environments.

Key Features

1 GitHub stars
Optimized integration for Docker containers and CI/CD pipelines
Comprehensive lockfile support for reproducible builds
Native virtual environment and Python version management
Seamless migration patterns from pip, pip-tools, and poetry
Ultra-fast dependency resolution and installation (10-100x faster than pip)

Use Cases

Standardizing dependency management across monorepos and complex project structures
Accelerating local Python development by replacing slow pip installations with high-performance Rust tooling
Reducing CI/CD build times through efficient caching and parallelized dependency resolution

About

Key Features

1 GitHub stars
Optimized integration for Docker containers and CI/CD pipelines
Comprehensive lockfile support for reproducible builds
Native virtual environment and Python version management
Seamless migration patterns from pip, pip-tools, and poetry
Ultra-fast dependency resolution and installation (10-100x faster than pip)

Use Cases

Standardizing dependency management across monorepos and complex project structures
Accelerating local Python development by replacing slow pip installations with high-performance Rust tooling
Reducing CI/CD build times through efficient caching and parallelized dependency resolution