
To enforce the 100 character line limit in markdown files introduced in https://github.com/astral-sh/uv/pull/5635, and to automate the formatting of markdown files, i've added prettier and formatted our markdown files with it. I've excluded the changelog and the generated references documentation from this for having too many changes, but we can also include them. I'm not particular on which style we use. My main motivations are (major) not having to reflow markdown files myself anymore and (minor) consistence between all markdown files. I've chosen prettier for similar reason as we chose black, it's a single good style that's automated and shared in the community. I do prefer prettier's style of not breaking inside of a link name though. This PR is in two parts, the first adds prettier to CI and documents using it, while the second actually formats the docs. When merge conflicts arise, we can drop the last commit and regenerate it with `npx prettier --prose-wrap always --write BENCHMARKS.md CONTRIBUTING.md README.md STYLE.md docs/*.md docs/concepts/**/*.md docs/guides/**/*.md docs/pip/**/*.md`. --------- Co-authored-by: Zanie Blue <contact@zanie.dev>
5.6 KiB
uv
An extremely fast Python package and project manager, written in Rust.
Installing the Trio dependencies with a warm cache.
Highlights
- 🐍 Installs and manages Python versions.
- 🛠️ Runs and installs Python applications.
- ❇️ Runs scripts, with support for inline dependency metadata.
- 🗂️ Provides comprehensive project management, with a universal lockfile.
- 🏢 Supports Cargo-style workspaces for scalable projects.
- 🚀 A replacement for
pip
,pip-tools
,pipx
,poetry
,pyenv
,virtualenv
, and more. - ⚡️ 10-100x faster than
pip
andpip-tools
(pip-compile
andpip-sync
). - 💾 Disk-space efficient, with a global cache for dependency deduplication.
- ⏬ Installable without Rust or Python via
curl
orpip
. - 🖥️ Supports macOS, Linux, and Windows.
uv is backed by Astral, the creators of Ruff.
Getting started
Install uv with our official standalone installer, on macOS and Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Or, on Windows:
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
Then, check out the first steps, see more installation methods, or read on for a brief overview.
Project management
uv manages project dependencies and environments:
$ uv init example
Initialized project `example` at `/home/user/example`
$ cd example
$ uv add ruff
Creating virtualenv at: .venv
Resolved 2 packages in 170ms
Built example @ file:///home/user/example
Prepared 2 packages in 627ms
Installed 2 packages in 1ms
+ example==0.1.0 (from file:///home/user/example)
+ ruff==0.5.4
$ uv run ruff check
All checks passed!
See the project guide to get started.
Tool management
uv executes and installs command-line tools provided by Python packages, similar to pipx
.
Run a tool in an ephemeral environment with uvx
:
$ uvx pycowsay 'hello world!'
Resolved 1 package in 167ms
Installed 1 package in 9ms
+ pycowsay==0.0.0.2
"""
------------
< hello world! >
------------
\ ^__^
\ (oo)\_______
(__)\ )\/\
||----w |
|| ||
Install a tool with uv tool install
:
$ uv tool install ruff
Resolved 1 package in 6ms
Installed 1 package in 2ms
+ ruff==0.5.4
Installed 1 executable: ruff
$ ruff --version
ruff 0.5.4
See the tools guide to get started.
Python management
uv installs Python and allows quickly switching between Python versions.
Install the Python versions your project requires:
$ uv python install 3.10 3.11 3.12
warning: `uv python install` is experimental and may change without warning
Searching for Python versions matching: Python 3.10
Searching for Python versions matching: Python 3.11
Searching for Python versions matching: Python 3.12
Installed 3 versions in 3.42s
+ cpython-3.10.14-macos-aarch64-none
+ cpython-3.11.9-macos-aarch64-none
+ cpython-3.12.4-macos-aarch64-none
Or, fetch Python versions on demand:
$ uv venv --python 3.12.0
Using Python 3.12.0
Creating virtualenv at: .venv
Activate with: source .venv/bin/activate
$ uv run --python pypy@3.8 -- python --version
Python 3.8.16 (a9dbdca6fc3286b0addd2240f11d97d8e8de187a, Dec 29 2022, 11:45:30)
[PyPy 7.3.11 with GCC Apple LLVM 13.1.6 (clang-1316.0.21.2.5)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>>
Use a specific Python version in the current directory:
$ uv python pin pypy@3.11
Pinned `.python-version` to `pypy@3.11`
See the installing Python guide to get started.
The pip interface
uv provides a drop-in replacement for common pip
, pip-tools
, and virtualenv
commands with
support for a wide range of advanced pip
features, including editable installs, Git dependencies,
direct URL dependencies, local dependencies, constraints, source distributions, HTML and JSON
indexes, and more.
uv extends these interfaces with advanced features, such as dependency version overrides, multi-platform resolutions, reproducible resolutions, alternative resolution strategies, and more.
Compile requirements into a multi-platform requirements file:
$ uv pip compile docs/requirements.in --universal --output-file docs/requirements.txt
Resolved 43 packages in 12ms
Create a virtual environment:
$ uv venv
Using Python 3.12.3
Creating virtualenv at: .venv
Activate with: source .venv/bin/activate
Install the locked requirements:
$ uv pip sync docs/requirements.txt
Resolved 43 packages in 11ms
Installed 43 packages in 208ms
+ babel==2.15.0
+ black==24.4.2
+ certifi==2024.7.4
...
See the uv pip documentation to get started.
Next steps
See the first steps or jump straight into the guides to start using uv.