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CodeSonar vs Pysa

CodeSonar

adacore.com

Pysa

pyre-check.org

Side by side

FigureCodeSonarPysa
Price from—Free
Free plan—Yes
Free trialYes—
Open source——
WebYes—
WindowsYesYes
macOS—Yes
LinuxYesYes
Self-hostedYesYes
Plans published11
Spec score · Static Application Security Testing Software8.1 (#7)8.3 (#6)
PurposeCodeSonar is a static application security testing solution that finds security and quality defects in code.Pysa is a security-focused static analysis tool for Python that tracks data flows to find security and privacy issues.

Plans

CodeSonar

  • CodeSonarPriced on request

CodeSonar pricing →

Pysa

  • Free (MIT-licensed open-source software)Free

Pysa pricing →

In their own words

CodeSonar

CodeSonar is AdaCore’s static application security testing solution for finding security and quality defects in source code and compiled binaries. It supports C/C++, Java, C#, Kotlin, Python, Go, Rust, JavaScript and TypeScript. Abstract interpretation and symbolic execution examine feasible execution paths across procedures and modules. Binary analysis covers mixed-language environments and cases where source is unavailable. Security coverage includes OWASP Top 10, SANS/CWE 25, SEI CERT C/C++ and DISA STIG; coding standards include MISRA-C, MISRA-C++, AUTOSAR C++, JSF++ and CERT. Integrations include Visual Studio, GitLab, Jira, Jenkins and VS Code, alongside project-management, CI/CD and IDE workflows. Pull-request scans, custom security rules and report exports to PDF, HTML or XML are supported. AdaCore offers on-premises, air-gapped and private-cloud deployment. The tool runs on supported 64-bit Windows and Linux distributions with glibc 2.39 or higher. Pricing is on request, with a trial available.

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Pysa

Pysa is a free, open-source Python static analysis tool that uses taint analysis to identify potential security issues. It follows data from configured sources toward dangerous sinks, such as user-controlled request data reaching an eval call. Users configure sources, sinks, features and rules in taint.config, and annotate code with .pysa model files; built-in and common Python libraries have prewritten models and rules. Sanitizer models describe data that should lose taint, including function parameters and return values. Pysa analyzes the target repository and directories in the configured search_path, but not dependency source outside that scope. When it cannot access a function’s source, it assumes the return value retains taint, which can lead to false positives. Analysis may freeze on similarly sized projects if the machine lacks enough memory. The quickstart installs it with pip install pyre-check in a Python virtual environment. Pyre supports the Language Server Protocol, and a VSCode extension connects to a running server. SAPP can ingest results for viewing and filtering in a local web UI; a GitHub Action can run Pysa in CI and show findings in GitHub’s Security code scanning UI. Pysa requires Python 3.9 or later and relies on type information from Pyrefly. The project says it can analyze codebases with millions of lines. Its repository is MIT-licensed; the Pyre repository was archived on June 26, 2026, and says Pysa moved to its own repository.

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