Open Source Unix Shell Source Code Analysis Tools
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Unix Shell Source Code Analysis Tools
View 5588 business solutionsBrowse free open source Unix Shell Source Code Analysis Tools and projects below. Use the toggles on the left to filter open source Unix Shell Source Code Analysis Tools by OS, license, language, programming language, and project status.
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Passwordless Authentication and Passwordless SecurityIt’s no secret — passwords can be a real headache, both for the people who use them and the people who manage them. Over time, we’ve created hundreds of passwords, it’s easy to lose track of them and they’re easily compromised. Fortunately, passwordless authentication is becoming a feasible reality for many businesses. Duo can help you get there.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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configthis
Manage and execute Linux testing and reporting programs
These bash shell scripts are intended to iteratively load executable files via symbolic links and echo output to a log file for later review. These bash shell scripts rely on a directory structure intended to group testing and reporting executable files by project, target platform, and version. -
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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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