A modern Python source code analyser based on distrust. A local-first, open source SAST tool that makes security checks simple for everyone. Find vulnerabilities before attackers do — and secure your code with confidence.
All you need to get started:
You can install Python Code Audit via pip:
pip install -U codeauditThis will install everything you need to directly use Python Code Audit!
Why trust when you can verify?
- Get instant insight — zero setup required.
- Built for everyone who cares about secure Python code.
- Zero friction — no sign-up, no hidden fees, no strings attached.
- 100% open source and transparent.
- Security validations are based on common found vulnerabilities in Python and best practices from OWASP and MITRE CWE.
- Don’t settle for a false sense of security — verify it.
Use the Leading Open Source SAST solution for Python
- Perform fast and accurate static security analysis.
- Calculates cyclomatic complexity scores for files and packages.
- Generates clean, static HTML reports viewable in any browser.
- Identifies known vulnerabilities in imported modules.
- Minimises false positives with precise analysis.
- Easily integrates into any CI/CD workflow.
- Build custom security dashboards and reports with simple APIs.
- Get actionable insights. Strengthen your Python security — effortlessly.
Powerful Simplicity.
Documentation
Leverage the Python Code Audit Manual’s expert guidance to make your entire codebase secure by design, not by accident.
100% Transparency
We believe in transparency. Python Code Audit is completely Open Source (GPLv3), ensuring continuous community scrutiny, maximum security, and zero vendor lock-in.
Created by security experts
Use solutions you can trust.
Python Code Audit was built to fill the gap — a modern SAST tool designed to protect Python code against today’s security threats.
Join the community and check our manifest.
In today’s digital world, security remains a critical concern. This applies equally to Python software. Security breaches that are possible when running untrusted Python programs are real.
Never trust, always verify!
