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  2. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer. Quite stringent; includes many stylistic warnings as ...

  3. Understand (software) - Wikipedia

    en.wikipedia.org/wiki/Understand_(software)

    Understand is a customizable integrated development environment (IDE) that enables static code analysis through an array of visuals, documentation, and metric tools. [2] It was built to help software developers comprehend, maintain, and document their source code. [3]

  4. ESLint - Wikipedia

    en.wikipedia.org/wiki/ESLint

    ESLint is a static code analysis tool for identifying problematic patterns found in JavaScript code. It was created by Nicholas C. Zakas in 2013. [2] [3] Rules in ESLint are configurable, and customized rules can be defined and loaded. ESLint covers both code quality and coding style issues.

  5. JSLint - Wikipedia

    en.wikipedia.org/wiki/JSLint

    JSLint is a static code analysis tool used in software development for checking if JavaScript source code complies with coding rules. It is provided primarily as a browser-based web application accessible through the domain jslint.com, but there are also command-line adaptations. [1] It was created in 2002 by Douglas Crockford. [2]

  6. List of performance analysis tools - Wikipedia

    en.wikipedia.org/wiki/List_of_performance...

    .NET 1.0 to 4.0 applications (including ASP.NET applications), Silverlight 4.0 applications, Windows 32- and 64-bit applications including C, C++, Delphi for Win32 and VBScript and JScript functions Performance profiler and memory/resource debugging toolset. Proprietary Arm MAP: Linux C, C++, Fortran/Fortran90 and Python applications.

  7. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [32] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

  8. Call graph - Wikipedia

    en.wikipedia.org/wiki/Call_graph

    With languages that feature dynamic dispatch (i.e. Java or C++), [5] first-class functions (i.e. Python or Racket), or function pointers (i.e. C), computing a static call graph precisely requires alias analysis results. Conversely, computing precise aliasing requires a call graph.

  9. LangChain - Wikipedia

    en.wikipedia.org/wiki/LangChain

    LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.