An extremely fast Python linter, written in Rust.
Project description
Ruff
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An extremely fast Python linter, written in Rust.
Linting the CPython codebase from scratch.
– ⚡️ 10-100x faster than existing linters
– 🐍 Installable via
pip
– 🛠️
pyproject.tomlsupport
– 🤝 Python 3.11 compatibility
– 📦 Built-in caching, to avoid re-analyzing unchanged files
– 🔧 Autofix support, for automatic error correction (e.g., automatically remove unused imports)
– 📏 Over
600 built-in rules
– ⚖️
Near-paritywith the built-in Flake8 rule set
– 🔌 Native re-implementations of dozens of Flake8 plugins, like flake8-bugbear
– ⌨️ First-party
editor integrationsfor VS Codeand more
– 🌎 Monorepo-friendly, with
hierarchical and cascading configuration
Ruff aims to be orders of magnitude faster than alternative tools while integrating more functionality behind a single, common interface.
Ruff can be used to replace
Flake8 (plus dozens of plugins),
isort, pydocstyle,
yesqa, eradicate,
pyupgrade, and autoflake,
all while executing tens or hundreds of times faster than any individual tool.
Ruff is extremely actively developed and used in major open-source projects like:
…and many more.
Ruff is backed by
Astral.Read the launch post,
or the original project announcement.
Testimonials
Sebastián Ramírez, creator
of FastAPI:
Ruff is so fast that sometimes I add an intentional bug in the code just to confirm it’s actually running and checking the code.
Nick Schrock, founder of Elementl,
co-creator of GraphQL:
Why is Ruff a gamechanger? Primarily because it is nearly 1000x faster.Literally.Not a typo.On our largest module (dagster itself, 250k LOC) pylint takes about 2.5 minutes, parallelized across 4 cores on my M1.Running ruff against our entire codebase takes .4 seconds.
Bryan Van de Ven, co-creator
of Bokeh, original author
of Conda:
Ruff is ~150-200x faster than flake8 on my machine, scanning the whole repo takes ~0.2s instead of ~20s.
This is an enormous quality of life improvement for local dev.
It’s fast enough that I added it as an actual commit hook, which is terrific.
Timothy Crosley,
creator of https://github.com/PyCQA/isort:
Just switched my first project to Ruff.Only one downside so far: it’s so fast I couldn’t believe it was working till I intentionally introduced some errors.
Tim Abbott, lead
developer of Zulip:
This is just ridiculously fast…
ruffis amazing.
Table of Contents
For more, see the
documentation.
Getting Started
For more, see the
documentation.
Installation
Ruff is available as
on PyPI: ruff
pip install ruff
You can also install Ruff via
Homebrew, https://anaconda.org/conda-forge/ruff,
and with a variety of other package managers.
Usage
To run Ruff, try any of the following:
ruff check .# Lint all files in the current directory (and any subdirectories) ruff check path/to/code/ # Lint all files in `/path/to/code` (and any subdirectories) ruff check path/to/code/*.py # Lint all `.py` files in `/path/to/code` ruff check path/to/code/to/file.py # Lint `file.py`
Ruff can also be used as a
pre-commit hook:
– repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version.
rev: v0.0.288 hooks: – id: ruff
Ruff can also be used as a
VS Code extension or
alongside any other editor through the Ruff LSP.
Ruff can also be used as a
GitHub Action via
: ruff-action
name: Ruff on: [ push, pull_request ] jobs: ruff: runs-on: ubuntu-latest steps: – uses: actions/checkout@v3 – uses: chartboost/ruff-action@v1
Configuration
Ruff can be configured through a
pyproject.toml,
ruff.toml, or
.ruff.toml file (see:
Configuration, or Settings
for a complete list of all configuration options).
If left unspecified, the default configuration is equivalent to:
[tool.ruff] # Enable pycodestyle (`E`) and Pyflakes (`F`) codes by default.select = [“E”, “F”] ignore = [] # Allow autofix for all enabled rules (when `–fix`) is provided.fixable = [“A”, “B”, “C”, “D”, “E”, “F”, “G”, “I”, “N”, “Q”, “S”, “T”, “W”, “ANN”, “ARG”, “BLE”, “COM”, “DJ”, “DTZ”, “EM”, “ERA”, “EXE”, “FBT”, “ICN”, “INP”, “ISC”, “NPY”, “PD”, “PGH”, “PIE”, “PL”, “PT”, “PTH”, “PYI”, “RET”, “RSE”, “RUF”, “SIM”, “SLF”, “TCH”, “TID”, “TRY”, “UP”, “YTT”] unfixable = [] # Exclude a variety of commonly ignored directories.exclude = [ “.bzr”, “.direnv”, “.eggs”, “.git”, “.git-rewrite”, “.hg”, “.mypy_cache”, “.nox”, “.pants.d”, “.pytype”, “.ruff_cache”, “.svn”, “.tox”, “.venv”, “__pypackages__”, “_build”, “buck-out”, “build”, “dist”, “node_modules”, “venv”, ] # Same as Black.line-length = 88 # Allow unused variables when underscore-prefixed.dummy-variable-rgx = “^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$” # Assume Python 3.8 target-version = “py38” [tool.ruff.mccabe] # Unlike Flake8, default to a complexity level of 10.
max-complexity = 10
Some configuration options can be provided via the command-line, such as those related to rule enablement and disablement, file discovery, logging level, and more:
ruff check path/to/code/ –select F401 –select F403 –quiet
See
ruff help for more on Ruff’s top-level commands, or
ruff help check for more on the
linting command.
Rules
Ruff supports over 600 lint rules, many of which are inspired by popular tools like Flake8, isort, pyupgrade, and others.Regardless of the rule’s origin, Ruff re-implements every rule in Rust as a first-party feature.
By default, Ruff enables Flake8’s
E and
F rules.
Ruff supports all rules from the
F category,
and a
subset of the
E category, omitting those
stylistic rules made obsolete by the use of an autoformatter, like
Black.
If you’re just getting started with Ruff, the default rule set is a great place to start: it catches a wide variety of common errors (like unused imports) with zero configuration.
Beyond the defaults, Ruff re-implements some of the most popular Flake8 plugins and related code quality tools, including:
autoflake eradicate flake8-2020 flake8-annotations flake8-async flake8-bandit( #1646) flake8-blind-except flake8-boolean-trap flake8-bugbear flake8-builtins flake8-commas flake8-comprehensions flake8-copyright flake8-datetimez flake8-debugger flake8-django flake8-docstrings flake8-eradicate flake8-errmsg flake8-executable flake8-future-annotations flake8-gettext flake8-implicit-str-concat flake8-import-conventions flake8-logging-format flake8-no-pep420 flake8-pie flake8-print flake8-pyi flake8-pytest-style flake8-quotes flake8-raise flake8-return flake8-self flake8-simplify flake8-slots flake8-super flake8-tidy-imports flake8-todos flake8-type-checking flake8-use-pathlib flynt( #2102) isort mccabe pandas-vet pep8-naming pydocstyle pygrep-hooks pylint-airflow pyupgrade tryceratops https://pypi.org/project/yesqa/
For a complete enumeration of the supported rules, see
Rules.
Contributing
Contributions are welcome and highly appreciated.To get started, check out the
contributing guidelines.
You can also join us on
Discord.
Support
Having trouble? Check out the existing issues on
GitHub,
or feel free to open a new one.
You can also ask for help on
Discord.
Acknowledgements
Ruff’s linter draws on both the APIs and implementation details of many other
tools in the Python ecosystem, especially
https://github.com/PyCQA/flake8, Pyflakes,
pycodestyle, https://github.com/PyCQA/pydocstyle,
https://github.com/asottile/pyupgrade, and https://github.com/PyCQA/isort.
In some cases, Ruff includes a “direct” Rust port of the corresponding tool.
We’re grateful to the maintainers of these tools for their work, and for all the value they’ve provided to the Python community.
Ruff’s autoformatter is built on a fork of Rome’s
https://github.com/rome/tools/tree/main/crates/rome_formatter”>,
and again draws on both API and implementation details from rome_formatter Rome, Prettier, and Black.
Ruff’s import resolver is based on the import resolution algorithm from
Pyright.
Ruff is also influenced by a number of tools outside the Python ecosystem, like
Clippy and ESLint.
Ruff is the beneficiary of a large number of
contributors.
Ruff is released under the MIT license.
Who’s Using Ruff?
Ruff is used by a number of major open-source projects and companies, including:
– Amazon (
AWS SAM)
– Anthropic (
Python SDK) Apache Airflow
– AstraZeneca (
Magnus)
– Benchling (
Refac) Babel https://github.com/bokeh/bokeh Cryptography (PyCA) DVC Dagger Dagster
– Databricks (
MLflow) FastAPI Gradio Great Expectations HTTPX
– Hugging Face (
Transformers, Datasets, Diffusers) Hatch Home Assistant
– ING Bank (
popmon, probatus) Ibis Jupyter LangChain LlamaIndex
– Matrix (
Synapse) MegaLinter
– Meltano (
Meltano CLI, Singer SDK)
– Microsoft (
Semantic Kernel, ONNX Runtime, LightGBM)
– Modern Treasury (
https://github.com/Modern-Treasury/modern-treasury-python-sdk)
– Mozilla (
Firefox) Mypy
– Netflix (
Dispatch) Neon ONNX OpenBB PDM PaddlePaddle Pandas Poetry Polars PostHog
– Prefect (
https://github.com/PrefectHQ/prefect, Marvin) PyInstaller PyTorch Pydantic Pylint Reflex Rippling Robyn
– Scale AI (
Launch SDK)
– Snowflake (
SnowCLI) Saleor SciPy Sphinx Stable Baselines3 Litestar The Algorithms Vega-Altair
– WordPress (
Openverse) ZenML Zulip build (PyPA) cibuildwheel (PyPA) delta-rs featuretools meson-python nox pip
Show Your Support
If you’re using Ruff, consider adding the Ruff badge to project’s
README.md:
![Ruff]https://github.com/astral-sh/ruff
…or
README.rst:
..image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json :target: https://github.com/astral-sh/ruff :alt: Ruff
…or, as HTML:
https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json” alt=”Ruff” style=”max-width:100%;”>
License
MIT
Project details
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