81 Python Static Analysis Tools
What is Python?
Python is an interpreted, high-level and general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured…(More info)
What are the best Python analysis tools?
Mega-Linter can handle any type of project thanks to its 70+ embedded Linters, its advanced reporting, runnable on any CI system or locally, with assisted installation and configuration, able to apply formatting and fixes
A commercial static analysis platform that supports the scanning of C/C++, C#, VB.NET, VB6, ABAP/BSP, ActionScript, Apex, ASP.NET, Classic ASP, VB Script, Cobol, ColdFusion, HTML, Java, JS, JSP, MXML/Flex, Objective-C, PHP, PL/SQL, T-SQL, Python (2.6, 2.7), Ruby (1.9.3), Swift, Scala, VB, and XML.
Enables code auditors and security teams to interactively investigate their unique code bases to find business logic flaws and technical vulnerabilities that traditional SASTs cannot. This is done by enabling the analyst to write their own custom queries. Can find hard-coded secrets, authentication issues, and malicious code like rootkits and backdoors.
Identify vulnerabilities that are unique to your code base before they reach production. Leverages the Code Property Graph (CPG) to run its analyses concurrently in a single graph of graphs. Automatically finds business logic flaws in dev like hardcoded secrets and logic bombs
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