Showing 4 open source projects for "static analysis tools for python"

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  • 1
    Ruff

    Ruff

    An extremely fast Python linter, written in Rust

    An extremely fast Python linter, written in Rust. 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. Ruff can be configured...
    Downloads: 59 This Week
    Last Update:
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  • 2
    Pylint

    Pylint

    It's not just a linter that annoys you!

    Pylint is a static code analyzer for Python 2 or 3. The latest version supports Python 3.7.2 and above. Pylint analyses your code without actually running it. It checks for errors, enforces a coding standard, looks for code smells, and can make suggestions about how the code could be refactored. Projects that you might want to use alongside pylint include flake8 (faster and simpler checks with very few false positives), mypy, pyright or pyre (typing checks), bandit (security-oriented...
    Downloads: 41 This Week
    Last Update:
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  • 3
    Ruff Visual Studio Code

    Ruff Visual Studio Code

    A Visual Studio Code extension with support for the Ruff linter

    Ruff Visual Studio Code is an official Visual Studio Code extension that integrates the Ruff Python linter and formatter directly into the development environment, enabling developers to maintain high code quality with minimal configuration. It provides real-time linting and formatting feedback as developers write code, helping catch errors, enforce style guidelines, and automatically fix issues where possible. The extension is built on top of Ruff’s high-performance Rust-based engine, which...
    Downloads: 8 This Week
    Last Update:
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  • 4
    PyChecker is a static analysis tool for finding bugs in Python source code. It finds problems that are typically caught by a compiler for less dynamic languages, like C and C++. It is similar to lint.
    Downloads: 8 This Week
    Last Update:
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