What Python code analysis tools are you using?
Android barcode scanner in 6 lines of Python code
Open Source solution to scan Python code for security issues (also other tech stacks)
Port scanning with Python
Why use Snyk's Python Code Checker?
What does it do? Snyk’s Python Code Checker (Snyk Code) is an AI-powered SAST tool that analyzes Python code for security issues and bugs, delivering real-time feedback within your IDE.
What types of issues are detected? It finds a broad spectrum of bugs (e.g., file I/O corruption, API misuse, null dereference, threading deadlocks, regex DoS, resource leaks) and vulnerabilities (e.g., code injection, SQL injection, weak cryptography, information disclosure).
How is AI implemented? The tool leverages a human-in-the-loop AI model—combining expert-curated rules with advanced ML for semantic, data-flow, and structural code analysis.
Integration capabilities? It integrates seamlessly with your workflow—providing real-time scanning in IDEs and CI/CD, plus PR scanning to enforce security before code merges.
What analysis methods are applied? It applies configuration, semantic, data-flow, and structural analyses to deeply understand code behavior and context.
Why use an AI-powered checker like this? AI enables earlier detection of sophisticated bugs and vulnerabilities that ordinary linters miss—reducing false positives and improving developer efficiency.
Does it support Python dependency scanning? Yes—while Snyk Code focuses on code logic, Snyk Open Source handles dependency scanning, offering comprehensive Python security.
How actionable is the feedback? Snyk delivers developer-friendly, inline remediation guidance, making it easy to fix issues efficiently.
What does Snyk’s Python Code Checker do?
Snyk’s Python Code Checker is an AI-powered static application security testing (SAST) tool designed for Python. It scans your code for both security vulnerabilities and complex bugs (like file I/O corruption, API misuses, null dereferences, threading deadlocks, regex DoS, and more), and provides actionable remediation advice directly within your IDE. It runs scans in real-time and integrates into your existing workflows.
Why is a Python code checker vital to secure development?
Within DevSecOps practices, the principle of “shifting left” emphasizes addressing security risks earlier in the development workflow. Integrating the Snyk Python code checker into the CI/CD pipeline is considered a standard best practice for achieving this. When static analysis is embedded directly into the IDE, developers receive immediate feedback on potential Python vulnerabilities, enabling them to mitigate risks at the point of introduction and strengthen overall application security.
» pip install scancode-toolkit
I am writing a new tool to do code analysis for Python. I know about pylint, bandit and like these tools but I have been frustrated by the fact that it's hard to extend and they do not provide fixes.
I was curious to learn from the community what tool they use: what rules are the most relevant/valuable to you and what feature/rule would are useful to you.
Thanks for any idea!