Does uv support monorepos?

Yes, uv has native workspace support allowing you to manage dependencies across multiple packages within a single repository efficiently.

Can uv replace Poetry?

Yes, uv can handle pyproject.toml files and lockfiles, providing similar functionality to Poetry but with significantly faster performance and a less opinionated structure.

How does uv handle Python versions?

uv includes built-in commands to install, list, and pin specific Python versions for your projects without needing external tools like pyenv.

Is uv compatible with Docker?

Absolutely. This skill includes optimized multi-stage Dockerfile patterns that use uv to create small, fast-building container images.

What makes uv better than pip?

uv is written in Rust and is 10-100x faster than pip, featuring a much more advanced dependency resolver and built-in virtual environment management.

UV Python Package Manager

Name: UV Python Package Manager
Author: Microck

byMicrock

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Deployment & DevOps

Manages Python dependencies and virtual environments with blazing speed using the Rust-powered uv tool.

About

This skill provides a comprehensive framework for utilizing uv, an ultra-fast Python package installer and resolver. It guides users through modern Python workflows, including project initialization, dependency resolution, virtual environment management, and Python versioning. Ideal for developers looking to replace slower tools like pip or Poetry, it offers optimized patterns for local development, CI/CD pipelines, and Dockerized environments to ensure reproducible and high-performance builds.

Key Features

81 GitHub stars
Optimized Docker and CI/CD integration patterns
Easy migration from pip, poetry, and pip-tools
Seamless virtual environment and Python version management
Lightning-fast package installation and dependency resolution
Reproducible builds with robust lockfile support

Use Cases

Setting up a new Python project with modern standards and lockfiles
Accelerating slow CI/CD pipelines by caching and fast dependency syncing
Managing multiple Python versions and virtual environments across different projects

About

Key Features

81 GitHub stars
Optimized Docker and CI/CD integration patterns
Easy migration from pip, poetry, and pip-tools
Seamless virtual environment and Python version management
Lightning-fast package installation and dependency resolution
Reproducible builds with robust lockfile support

Use Cases

Setting up a new Python project with modern standards and lockfiles
Accelerating slow CI/CD pipelines by caching and fast dependency syncing
Managing multiple Python versions and virtual environments across different projects