Open Source Python Source Code Analysis Tools - Page 2

Python Source Code Analysis Tools

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

  • Orchestrate Your AI Agents with Zenflow Icon
    Orchestrate Your AI Agents with Zenflow

    The multi-agent workflow engine for modern teams. Zenflow executes coding, testing, and verification with deep repo awareness

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  • 1
    TODOs

    TODOs

    Search TODO, FIXME and similar comments in project files.

    TODOs is a small command-line utility to search TODO, FIXME and similar comments in project files. It is written in Python 3 and licensed under the terms of GNU GPL 3 license. Supported output formats are TXT, HTML and XML.
    Downloads: 0 This Week
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  • 2
    The web lint checks HTML and XHTML pages for possible markup problems. It attempts to find problems with your code that an HTML validator does not.
    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
    CPIP is a C/C++ preprocessor implemented in Python. CPIP exposes all aspects of preprocessing for inspection. NOTE: This project has now moved to https://github.com/paulross/cpip. This is no reflection on Sourceforge, indeed I am very grateful for them hosting CPIP for may years. It is merely because I can't manage two workflows!
    Downloads: 0 This Week
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  • Field Service Management Software | BlueFolder Icon
    Field Service Management Software | BlueFolder

    Maximize technician productivity with intuitive field service software

    Track all your service data in one easy-to-use system, enabling your team to move faster and generate more revenue for your bottom line.
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  • 5
    Patch file shows difference in files in whole lines. Sometimes those lines are very similar, only one or two words changed. This script compares changed lines by characters and highlights actual differences in them - very helpful with long lines.
    Downloads: 0 This Week
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  • 6
    evofetch

    evofetch

    Mining tool for software repositories

    EvoFETCH is a tool to extract information about software entities such as classes, methods, and attributes from software repositories. EvoFETCH is middleware and makes use of other freely available software to perform the extraction and provide query functionality.
    Downloads: 0 This Week
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  • 7
    misspell-check

    misspell-check

    A program to check source code for mispelings...

    A program to check source code for mispelings...
    Downloads: 0 This Week
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  • 8
    nodejsscan

    nodejsscan

    nodejsscan is a static security code scanner for Node.js applications

    Static security code scanner (SAST) for Node.js applications powered by libsast and semgrep. nodejsscan is a static security code scanner for Node.js applications.
    Downloads: 0 This Week
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  • 9
    pyInspect

    pyInspect

    Create a simple class diagram with docstring and variable infomation.

    Create a simple class diagram with docstring and variable descriptions. The program takes a .py file as an input and creates a class diagram in a form of a html file.
    Downloads: 0 This Week
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  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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  • 10
    PyCDep is a tool to analyze include dependencies between files in C and C++ programs. PyCDep itself is written in python. It dumps all the facts in a prolog database which can be queried. Visualization is possible by dumping graphviz (.dot) files.
    Downloads: 0 This Week
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  • 11
    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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  • 12
    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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  • 13
    pytype

    pytype

    A static type analyzer for Python code

    pytype is a static type analyzer that checks and infers types for Python code without executing it, catching errors at “compile time” and generating actionable diagnostics. It grew alongside Python typing at Google and can understand both inline annotations and unannotated code via powerful inference. The tool consumes stub files (.pyi) for the standard library and third-party packages (from typeshed and its own built-ins), enabling accurate checks even in large, mixed-quality codebases. Developers can run pytype locally or wire it into CI to prevent regressions and track tightening type discipline over time. Because pytype infers types, it’s useful during gradual typing, surfacing mismatches, missing attributes, or unsafe unions before runtime. Documentation and a user guide detail configuration, supported features, and how inference interacts with modern Python idioms.
    Downloads: 0 This Week
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  • 14
    Reviewing memory allocation and data structures of an extant Sourceforge project unix-named "simupop". A new development version of the extant project is established and the ultimate goal is to "rev up" the old, hence the project name.
    Downloads: 0 This Week
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  • 15
    todo_notifier

    todo_notifier

    Todo Notifier simplifies the management of todo items in your project

    Simplify Todo management with Todo Notifier - a versatile Python library that generates automated summaries and sends reminders via email, SNS, SES & more. Integrate easily with other project management tools. The package is available on PyPi: https://pypi.org/project/todonotifier/ For more information, please check out the GitHub repository: https://github.com/ashu-tosh-kumar/todo_notifier Detailed code documentation on GitHub Pages: https://ashu-tosh-kumar.github.io/todo_notifier/todonotifier.html Medium Article on how to use: https://at-k.medium.com/streamline-your-todos-with-todo-notifier-for-python-projects-6f95c03a2d34
    Downloads: 0 This Week
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  • 16
    Unique finds patterns in source code. It helps you build better software by finding pieces of code that could benefit from a refactoring.
    Downloads: 0 This Week
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  • 17
    wemake-python-styleguide

    wemake-python-styleguide

    The strictest and most opinionated python linter ever!

    Welcome to the strictest and most opinionated Python linter ever. wemake-python-styleguide is actually a flake8 plugin with some other plugins as dependencies. Ensures consistency - no matter who works on it, the end product will always be the same dependable code. Helps avoid potential bugs - strict rules make sure that you don't make common mistakes. Efficient code reviews - each piece of code has a similar familiar style and syntax. If it passes all the checks, there's little left to review! Fewer code revisions - strict linting ensures that you don't have to re-write the codebase again and again. Reduce code redundancy - Sometimes we write complex code as we are thinking in a certain way about a problem. The linter offers suggestions that can help simplify the code and eliminate redundant statements. The ultimate goal of this project is to make all people write exactly the same Python code.
    Downloads: 0 This Week
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