Open Source Static Analysis Tools
Static analysis examines source code or compiled artifacts without running them. It helps identify defects, unsafe patterns, type errors, and maintainability issues earlier in development, when they are often easier to fix. Depending on the analysis method, tools can check rules across a codebase, trace how data moves through a program, or inspect binaries for suspicious behavior. These checks complement testing rather than replace it, since they cannot reveal every problem that appears only during execution.
Open source options include linters, type checkers, security scanners, and specialized analyzers for particular languages or artifacts. When choosing a tool, consider language coverage, accuracy and false positives, integration with editors and automated workflows, runtime and resource requirements, license, and maintenance activity. Static analysis can benefit individual developers, teams maintaining large codebases, security reviewers, and researchers examining unfamiliar software.
2 repositories · updated October 3, 2026

pytype: Analyze Python Types Statically
pytype is a static type analyzer for Python that uses type inference alongside annotations to find type problems without running code. Its final supported Python version is 3.12, so it is best suited to existing projects that target that version.

pyre-check: Check Python Types and Find Data Flows
Pyre is an incremental, performant type checker for Python, with Pysa for security-focused data-flow analysis. The repository is archived: type checking has moved to Pyrefly, and Pysa is maintained in a separate repository.