Open Source Python Source Code Analysis Tools for Linux

Browse free open source Python Source Code Analysis Tools for Linux and projects below. Use the toggles on the left to filter open source Python Source Code Analysis Tools for Linux by OS, license, language, programming language, and project status.

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    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 checks), black and isort (auto-formatting), autoflake (automated removal of unused import or variable), pyupgrade (automated upgrade to newer python syntax) and pydocstringformatter (automated pep257). Pylint isn't smarter than you: it may warn you about things that you have conscientiously done or checks for some things that you don't care about. During adoption, especially in a legacy project where pylint was never enforced.
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    Tencent Cloud Code Analysis

    Tencent Cloud Code Analysis

    Static code analysis

    Tencent Cloud Code Analysis (TCA for short, used internally by the R&D code CodeDog ) is a cloud-native, distributed, high-performance comprehensive code analysis and tracking platform that integrates many analysis tools, including server, web and client The three components have integrated a number of self-developed tools, and also support the dynamic integration of analysis tools of various programming languages ​​in the industry. Obtain the Tencent Cloud code analysis platform by deploying TCA Server and Web, and complete the creation of related projects on the platform. After the project is created, you can deploy and configure the Tencent Cloud code analysis client to perform code analysis locally or as an online resident node. Before starting your first code analysis project, you need to deploy the Tencent Cloud Code Analysis client locally. After completing the project configuration on the client, you can start your first code analysis project and view your analysis results.
    Downloads: 0 This Week
    Last Update:
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