Open Source Python Source Code Analysis Tools for Desktop Operating Systems

Python Source Code Analysis Tools for Desktop Operating Systems

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

  • Paessler: Easy to Use With Enterprise Power. Free Trial Icon
    Paessler: Easy to Use With Enterprise Power. Free Trial

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  • 1
    This is a python program which generates python file for a given .glade file (LibGlade fmt)
    Downloads: 0 This Week
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  • 2
    This package will allow people to check, change, update the license of their projects. It will conform to all new licenses available.
    Downloads: 0 This Week
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  • 3
    X Ray: Coding Analysis for SCMs
    XRay is an analysis tool built upon your SCMs, aimed to consolidade project statistics from many repositories in a single tool, generating code reports and development statistics obtained from log data and file versions.
    Downloads: 0 This Week
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  • 4
    A command-line Python utility to mine information on open source projects using the ohloh web service APIs. The script is enables analysis of open source projects indexed by ohloh by providing source lines of code (SLOC), contributor data and other info.
    Downloads: 0 This Week
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  • MongoDB Atlas runs apps anywhere Icon
    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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  • 5
    pysourceinfo

    pysourceinfo

    RTTI for Python Source and Binary Files

    The 'pysourceinfo' package provides source information on Python runtime objects based on 'inspect', 'sys', 'os', and 'imp'. The covered objects include packages, modules, functions, methods, scripts, and classes by two views: - File System View - packages, modules, and linenumbers - based on files and paths - Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection The supported platforms are: - Linux, BSD, Unix, OS-X, Cygwin, and Windows - Python2, Python3 - CPython, PyPy Object addresses within modules - Object Identifier OID - and the display of the runtime call flow are supported by 'PyStackInfo'. Online documents: https://pysourceinfo.sourceforge.io/
    Downloads: 0 This Week
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