ruff vs flake8

Side-by-side — pricing, strengths, tradeoffs, and fit.

ruff

An extremely fast Python linter and code formatter.

flake8

A wrapper around pycodestyle, pyflakes and McCabe to check Python code for style and errors.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

An extremely fast Python linter and code formatter.

One-liner

A wrapper around pycodestyle, pyflakes and McCabe to check Python code for style and errors.

Maturity

Established

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Teams needing fast and efficient linting and formatting in Python projects
Developers working on large codebases where speed is critical
Projects requiring strict adherence to coding standards

✓ Best for

Teams that need to enforce PEP8 compliance and detect common programming errors in Python code.
Developers working on large projects where consistent coding style is crucial.

Not ideal for

✕ Not for

Non-Python projects that require language-specific linting or formatting tools
Scenarios where a cloud-based solution with additional features beyond linting and formatting is required

✕ Not for

Projects requiring real-time feedback during development (requires manual invocation).
Non-Python projects or languages not supported by flake8.

Strengths

↑ Strengths

Extremely fast linting and formatting
Highly configurable ruleset
Supports both linting and code formatting in one tool

↑ Strengths

Combines pycodestyle, pyflakes, and McCabe for comprehensive code analysis.
Extensive plugin ecosystem to extend functionality.
Highly configurable with options for customizing checks.

Weaknesses

↓ Weaknesses

Limited integrations with non-Python ecosystems
Complex setup for CI/CD pipelines
Performance degradation with large codebases

↓ Weaknesses

Limited utility for non-Python projects
Configuration complexity can be overwhelming
Performance issues with large codebases
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