Open Source Python Source Code Analysis Tools for Desktop Operating Systems
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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.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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This package will allow people to check, change, update the license of their projects. It will conform to all new licenses available.
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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.
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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.
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No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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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/
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