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Is Ruff compatible with Black?#

Yes. Ruff is compatible with Black out-of-the-box, as long as the line-length setting is consistent between the two.

As a project, Ruff is designed to be used alongside Black and, as such, will defer implementing stylistic lint rules that are obviated by autoformatting.

Note that Ruff and Black treat line-length enforcement a little differently. Black makes a best-effort attempt to adhere to the line-length, but avoids automatic line-wrapping in some cases (e.g., within comments). Ruff, on the other hand, will flag rule E501 for any line that exceeds the line-length setting. As such, if E501 is enabled, Ruff can still trigger line-length violations even when Black is enabled.

How does Ruff compare to Flake8?#

(Coming from Flake8? Try flake8-to-ruff to automatically convert your existing configuration.)

Ruff can be used as a drop-in replacement for Flake8 when used (1) without or with a small number of plugins, (2) alongside Black, and (3) on Python 3 code.

Under those conditions, Ruff implements every rule in Flake8. In practice, that means Ruff implements all of the F rules (which originate from Pyflakes), along with a subset of the E and W rules (which originate from pycodestyle).

Ruff also re-implements some of the most popular Flake8 plugins and related code quality tools natively, including:

Note that, in some cases, Ruff uses different rule codes and prefixes than would be found in the originating Flake8 plugins. For example, Ruff uses TID252 to represent the I252 rule from flake8-tidy-imports. This helps minimize conflicts across plugins and allows any individual plugin to be toggled on or off with a single (e.g.) --select TID, as opposed to --select I2 (to avoid conflicts with the isort rules, like I001).

Beyond the rule set, Ruff's primary limitation vis-à-vis Flake8 is that it does not support custom lint rules. (Instead, popular Flake8 plugins are re-implemented in Rust as part of Ruff itself.)

There are a few other minor incompatibilities between Ruff and the originating Flake8 plugins:

  • Ruff doesn't implement all the "opinionated" lint rules from flake8-bugbear.
  • Depending on your project structure, Ruff and isort can differ in their detection of first-party code. (This is often solved by modifying the src property, e.g., to src = ["src"], if your code is nested in a src directory.)

How does Ruff compare to Pylint?#

At time of writing, Pylint implements ~409 total rules, while Ruff implements 440, of which at least 89 overlap with the Pylint rule set (you can find the mapping in #970).

Pylint implements many rules that Ruff does not, and vice versa. For example, Pylint does more type inference than Ruff (e.g., Pylint can validate the number of arguments in a function call). As such, Ruff is not a "pure" drop-in replacement for Pylint (and vice versa), as they enforce different sets of rules.

Despite these differences, many users have successfully switched from Pylint to Ruff, especially those using Ruff alongside a type checker, which can cover some of the functionality that Pylint provides.

Like Flake8, Pylint supports plugins (called "checkers"), while Ruff implements all rules natively. Unlike Pylint, Ruff is capable of automatically fixing its own lint violations.

Pylint parity is being tracked in #970.

How does Ruff compare to Mypy, or Pyright, or Pyre?#

Ruff is a linter, not a type checker. It can detect some of the same problems that a type checker can, but a type checker will catch certain errors that Ruff would miss. The opposite is also true: Ruff will catch certain errors that a type checker would typically ignore.

For example, unlike a type checker, Ruff will notify you if an import is unused, by looking for references to that import in the source code; on the other hand, a type checker could flag that you passed an integer argument to a function that expects a string, which Ruff would miss. The tools are complementary.

It's recommended that you use Ruff in conjunction with a type checker, like Mypy, Pyright, or Pyre, with Ruff providing faster feedback on lint violations and the type checker providing more detailed feedback on type errors.

Which tools does Ruff replace?#

Today, Ruff can be used to replace Flake8 when used with any of the following plugins:

Ruff can also replace isort, yesqa, eradicate, and most of the rules implemented in pyupgrade.

If you're looking to use Ruff, but rely on an unsupported Flake8 plugin, feel free to file an issue.

What versions of Python does Ruff support?#

Ruff can lint code for any Python version from 3.7 onwards, including Python 3.10 and 3.11.

Ruff does not support Python 2. Ruff may run on pre-Python 3.7 code, although such versions are not officially supported (e.g., Ruff does not respect type comments).

Ruff is installable under any Python version from 3.7 onwards.

Do I need to install Rust to use Ruff?#

Nope! Ruff is available as ruff on PyPI:

pip install ruff

Ruff ships with wheels for all major platforms, which enables pip to install Ruff without relying on Rust at all.

Can I write my own plugins for Ruff?#

Ruff does not yet support third-party plugins, though a plugin system is within-scope for the project. See #283 for more.

How does Ruff's import sorting compare to isort?#

Ruff's import sorting is intended to be near-equivalent to isort's when using isort's profile = "black".

There are a few known differences in how Ruff and isort treat aliased imports, and in how Ruff and isort treat inline comments in some cases (see: #1381, #2104).

For example, Ruff tends to group non-aliased imports from the same module:

from numpy import cos, int8, int16, int32, int64, tan, uint8, uint16, uint32, uint64
from numpy import sin as np_sin

Whereas isort splits them into separate import statements at each aliased boundary:

from numpy import cos, int8, int16, int32, int64
from numpy import sin as np_sin
from numpy import tan, uint8, uint16, uint32, uint64

Like isort, Ruff's import sorting is compatible with Black.

Ruff does not yet support all of isort's configuration options, though it does support many of them. You can find the supported settings in the API reference. For example, you can set known-first-party like so:

select = [
    # Pyflakes
    # Pycodestyle
    # isort

# Note: Ruff supports a top-level `src` option in lieu of isort's `src_paths` setting.
src = ["src", "tests"]

known-first-party = ["my_module1", "my_module2"]

How does Ruff determine which of my imports are first-party, third-party, etc.?#

Ruff accepts a src option that in your pyproject.toml, ruff.toml, or .ruff.toml file, which specifies the directories that Ruff should consider when determining whether an import is first-party.

For example, if you have a project with the following structure:

├── pyproject.toml
└── src
    └── foo
        └── bar

When Ruff sees an import like import foo, it will then iterate over the src directories, looking for a corresponding Python module (in reality, a directory named foo or a file named

If the src field is omitted, Ruff will default to using the "project root" as the only first-party source. The "project root" is typically the directory containing your pyproject.toml, ruff.toml, or .ruff.toml file, unless a configuration file is provided on the command-line via the --config option, in which case, the current working directory is used as the project root.

In this case, Ruff would only check the top-level directory. Instead, we can configure Ruff to consider src as a first-party source like so:

# All paths are relative to the project root, which is the directory containing the pyproject.toml.
src = ["src"]

If your pyproject.toml, ruff.toml, or .ruff.toml extends another configuration file, Ruff will still use the directory containing your pyproject.toml, ruff.toml, or .ruff.toml file as the project root (as opposed to the directory of the file pointed to via the extends option).

For example, if you add a ruff.toml to the tests directory in the above example, you'll want to explicitly set the src option in the extended configuration file:

# tests/ruff.toml
extend = "../pyproject.toml"
src = ["../src"]

Beyond this src-based detection, Ruff will also attempt to determine the current Python package for a given Python file, and mark imports from within the same package as first-party. For example, above, would be identified as part of the Python package beginning at ./my_project/src/foo, and so any imports in that begin with foo (like import would be considered first-party based on this same-package heuristic.

For a detailed explanation, see the contributing guide.

Does Ruff support Jupyter Notebooks?#

Ruff has built-in support for linting Jupyter Notebooks.

To opt in to linting Jupyter Notebook (.ipynb) files, add the *.ipynb pattern to your include setting, like so:

include = ["*.py", "*.pyi", "**/pyproject.toml", "*.ipynb"]

This will prompt Ruff to discover Jupyter Notebook (.ipynb) files in any specified directories, and lint them accordingly.

Alternatively, pass the notebook file(s) to ruff on the command-line directly. For example, ruff check /path/to/notebook.ipynb will always lint notebook.ipynb.

Ruff also integrates with nbQA, a tool for running linters and code formatters over Jupyter Notebooks.

After installing ruff and nbqa, you can run Ruff over a notebook like so:

> nbqa ruff Untitled.ipynb
Untitled.ipynb:cell_1:2:5: F841 Local variable `x` is assigned to but never used
Untitled.ipynb:cell_2:1:1: E402 Module level import not at top of file
Untitled.ipynb:cell_2:1:8: F401 `os` imported but unused
Found 3 errors.
1 potentially fixable with the --fix option.

Does Ruff support NumPy- or Google-style docstrings?#

Yes! To enforce a docstring convention, add the following to your pyproject.toml:

convention = "google"  # Accepts: "google", "numpy", or "pep257".

For example, if you're coming from flake8-docstrings, and your originating configuration uses --docstring-convention=numpy, you'd instead set convention = "numpy" in your pyproject.toml, as above.

Alongside convention, you'll want to explicitly enable the D rule code prefix, since the D rules are not enabled by default:

select = [

convention = "google"

Setting a convention force-disables any rules that are incompatible with that convention, no matter how they're provided, which avoids accidental incompatibilities and simplifies configuration. By default, no convention is set, and so the enabled rules are determined by the select setting alone.

What is preview?#

Preview enables a collection of newer rules and fixes that are considered experimental or unstable. See the preview documentation for more details; or, to see which rules are currently in preview, visit the rules reference.

How can I tell what settings Ruff is using to check my code?#

Run ruff check /path/to/ --show-settings to view the resolved settings for a given file.

I want to use Ruff, but I don't want to use pyproject.toml. Is that possible?#

Yes! In lieu of a pyproject.toml file, you can use a ruff.toml file for configuration. The two files are functionally equivalent and have an identical schema, with the exception that a ruff.toml file can omit the [tool.ruff] section header.

For example, given this pyproject.toml:

line-length = 88

convention = "google"

You could instead use a ruff.toml file like so:

line-length = 88

convention = "google"

Ruff doesn't currently support INI files, like setup.cfg or tox.ini.

How can I change Ruff's default configuration?#

When no configuration file is found, Ruff will look for a user-specific pyproject.toml or ruff.toml file as a last resort. This behavior is similar to Flake8's ~/.config/flake8.

On macOS, Ruff expects that file to be located at /Users/Alice/Library/Application Support/ruff/ruff.toml.

On Linux, Ruff expects that file to be located at /home/alice/.config/ruff/ruff.toml.

On Windows, Ruff expects that file to be located at C:\Users\Alice\AppData\Roaming\ruff\ruff.toml.

For more, see the dirs crate.

Ruff tried to fix something — but it broke my code?#

Ruff's autofix is a best-effort mechanism. Given the dynamic nature of Python, it's difficult to have complete certainty when making changes to code, even for the seemingly trivial fixes.

In the future, Ruff will support enabling autofix behavior based on the safety of the patch.

In the meantime, if you find that the autofix is too aggressive, you can disable it on a per-rule or per-category basis using the unfixable mechanic. For example, to disable autofix for some possibly-unsafe rules, you could add the following to your pyproject.toml:

unfixable = ["B", "SIM", "TRY", "RUF"]

If you find a case where Ruff's autofix breaks your code, please file an Issue!

How can I disable Ruff's color output?#

Ruff's color output is powered by the colored crate, which attempts to automatically detect whether the output stream supports color. However, you can force colors off by setting the NO_COLOR environment variable to any value (e.g., NO_COLOR=1).

colored also supports the CLICOLOR and CLICOLOR_FORCE environment variables (see the spec).