Enhancing Python Code Quality: A Comprehensive Guide to Linting with Ruff

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • ruff

    An extremely fast Python linter and code formatter, written in Rust.

  • Ruff, with its comprehensive rule set and customizable configurations, offers a robust solution for enforcing coding standards and identifying potential issues. Its seamless integration with popular code editors provides real-time feedback, enabling developers to catch errors as they code. Ruff main claim to fame is its speed enabling quick feedback to developers.

  • Pylint

    It's not just a linter that annoys you!

  • Pylint, on the other hand, focuses on code analysis and style checking. It offers extensive customization options and supports various coding standards. Pylint is known for its comprehensive reports and ability to detect a wide range of code issues.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Flake8

    flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.

  • Flake8 combines the functionalities of the PyFlakes, pycodestyle, and McCabe libraries. It provides a streamlined approach to code linting by detecting coding errors, enforcing style conventions, and measuring code complexity.

  • ruff-pre-commit

    A pre-commit hook for Ruff.

  • - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. rev: v0.0.277 hooks: - id: ruff # Ruff options. args: ["--paths", "src", "tests", "--exclude", "src/ignore.py"]

  • ruff-action

    A GitHub Action for Ruff

  • There is also a GitHub Action for Ruff available here

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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