
GitHub - astral-sh/uv: An extremely fast Python package and …
uv provides a drop-in replacement for common pip, pip-tools, and virtualenv commands. uv extends their interfaces with advanced features, such as dependency version overrides, …
uv cheatsheet - GitHub
Aug 1, 2025 · A comprehensive cheatsheet and guide for uv, an extremely fast, Rust‑based Python packaging and project manager from Astral. It aims to replace tools like pip, Poetry, …
UV Starter - GitHub
uv is a lightweight and efficient tool for managing Python virtual environments and dependencies. It simplifies managing isolated environments for different projects, ensuring reproducibility and …
Releases · astral-sh/uv - GitHub
An extremely fast Python package and project manager, written in Rust. - Releases · astral-sh/uv
uv/docs/guides/install-python.md at main · astral-sh/uv · GitHub
If Python is already installed on your system, uv will detect and use it without configuration. However, uv can also install and manage Python versions. uv automatically installs missing …
UV Cheatsheet · GitHub
Dec 7, 2025 · uv lock --upgrade doesn't upgrade in project environment, but just update uv.lock file. so uv sync --upgrade and uv sync --upgrade-package <package_name> are correct.
Example of a monorepo setup for python projects using uv
This repository contains an example of a monorepo setup using uv. A lot of the information used in this repository comes from this github issue in the uv repository.
UV Documentation – A Comprehensive Guide for UV, the Fast …
Feb 8, 2025 · It features rapid dependency resolution, integrated virtual environment management, a pip-compatible interface, lockfile support for reproducibility, and Python …
GitHub - kn2167/uv-python: An extremely fast Python package …
uv provides a drop-in replacement for common pip, pip-tools, and virtualenv commands. uv extends their interfaces with advanced features, such as dependency version overrides, …
Cookbook on using UV · GitHub
Dec 13, 2024 · UV: Overview python has a lot of different options that can be used to help manage dependencies including: pip / venv pipenv conda / anaconda / miniconda mamba / …