Is uv suitable for production Docker builds?

Absolutely. uv is highly optimized for Docker, offering features like 'uv sync --frozen' to ensure exact dependency matches and significantly faster image build times.

Can I use uv with existing requirements.txt files?

Yes, uv acts as a drop-in replacement and can install packages directly from requirements.txt files or export current environments back to that format using 'uv pip' commands.

Does uv manage Python versions directly?

Yes, uv includes robust Python management capabilities, allowing you to install, list, and pin specific Python versions (like 3.12 or 3.13) without needing external tools like pyenv.

How much faster is uv compared to pip?

UV is typically 10 to 100 times faster than pip, leveraging Rust's performance for concurrent package installation and advanced dependency resolution.

UV Python Package Manager

Name: UV Python Package Manager
Author: carloscroc

bycarloscroc

Productividad y Flujo de Trabajo

Accelerates Python development workflows by managing dependencies, virtual environments, and Python versions with blazing-fast speed using uv.

Acerca de

This skill empowers Claude to master uv, the ultra-fast Python package installer and resolver written in Rust. It provides comprehensive patterns for setting up new projects, managing complex dependency trees, and ensuring reproducible builds via lockfiles. By leveraging uv's performance advantages, this skill helps developers migrate from traditional tools like pip or Poetry, manage monorepos, and streamline CI/CD and Docker integrations for a more efficient Python development lifecycle.

Características Principales

Support for reproducible builds with uv.lock and project-wide synchronization
Optimized integration patterns for monorepos, Docker containers, and GitHub Actions
Comprehensive management of virtual environments and multi-version Python installations
Seamless migration workflows from pip, pip-tools, and Poetry ecosystems
Blazing-fast package installation and dependency resolution up to 100x faster than pip
0 GitHub stars

Casos de Uso

Managing complex dependency resolutions in monorepos and enterprise-scale Python environments
Initializing new Python projects with optimized structures and dependency lockfiles
Migrating legacy Python projects to uv to significantly reduce build and installation times

Acerca de

Características Principales

Support for reproducible builds with uv.lock and project-wide synchronization
Optimized integration patterns for monorepos, Docker containers, and GitHub Actions
Comprehensive management of virtual environments and multi-version Python installations
Seamless migration workflows from pip, pip-tools, and Poetry ecosystems
Blazing-fast package installation and dependency resolution up to 100x faster than pip
0 GitHub stars

Casos de Uso

Managing complex dependency resolutions in monorepos and enterprise-scale Python environments
Initializing new Python projects with optimized structures and dependency lockfiles
Migrating legacy Python projects to uv to significantly reduce build and installation times