Bandit is a static security linter for Python code that identifies common security vulnerabilities through abstract syntax tree analysis.
Bandit addresses the need to catch security issues early in development by parsing Python source files into abstract syntax trees and running specialized plugins against the resulting nodes. This approach allows it to detect patterns indicative of security problems without executing the code. After scanning all files, it generates a report summarizing findings.
Bandit suits projects where security scanning is part of the development workflow, particularly those already using Python code quality tools from the PyCQA ecosystem. It works well integrated into continuous integration pipelines and is available as a container image supporting multiple architectures, making it deployable in containerized environments. The tool is appropriate for teams seeking automated detection of common security anti-patterns rather than deep manual security auditing.
The project maintains active continuous integration with automated testing on the main branch. Documentation is kept current and accessible through a dedicated documentation site. Container images are built and published through automated workflows with cryptographic verification available via sigstore cosign. The project accepts community contributions through a documented process and maintains communication channels for user engagement.
