uv: The Blazing-Fast Python Package Manager Changing the Game

"The core promise of uv is speed, achieved through: A Rust-based resolver and installer (no Python bootstrap overhead) Aggressive caching (global wheel cache, hardlinks/CoW where possible) Parallel downloads and builds Smart, version-pinned resolution that avoids unnecessary backtracking Benchmarks consistently show: 8-10× faster than pip/pip-tools without cache 80-115× faster with a warm cache What Sets uv Apart? Blazing-fast installs uv is routinely 10-100× faster than pip (and often faster than Poetry or pipenv too). Dependency resolution and wheel installation that used to take seconds or minutes now finish in the blink of an eye."

"One tool to rule them all uv replaces pip + venv + pip-tools + pipx + virtualenv + pyenv in a single binary. You get dependency resolution, lockfiles, virtual-environment management, isolated global tool installation, Python version management, and even script running - all through the same uv command."

"Zero-friction developer workflow Virtual environments are created and populated automatically (no more python -m venv .venv && source .venv/bin/activate). A deterministic file is generated on the first uv sync or uv lock. Running scripts with uv run always uses the correct environment, even if you delete .venv, uv silently recreates it in milliseconds. Project scaffolding, building, and publishing are also built-in, so you can go from idea to published package without ever leaving uv."

uv delivers extremely fast Python dependency resolution and installation using a Rust-based resolver and installer that avoids Python bootstrap overhead. The tool employs aggressive caching with a global wheel cache and hardlinks/CoW where possible, parallel downloads and builds, and smart version-pinned resolution to avoid unnecessary backtracking. Benchmarks show uv is 8–10× faster than pip/pip-tools without cache and 80–115× faster with a warm cache. uv consolidates pip, venv, pip-tools, pipx, virtualenv and pyenv into a single binary with lockfiles, virtual-environment and Python version management, isolated global tool installation, and script running. Virtual environments are created and populated automatically and recreated silently if deleted. Project scaffolding, building, publishing, and automatic Python distribution installation are included. Installation options include shell install scripts, PowerShell, and pip, with a self-update command.

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