Bandit vs Black Duck Coverity

Bandit is free software for finding common security issues in Python source code. It builds an abstract syntax tree from scanned files and runs plugins against that tree, then produces a report. A JSON baseline can exclude findings that a team considers non-issues. The project is distributed through PyPI and recommends installation with pip. It runs on Linux and macOS and can be used in self-hosted environments. Optional installation extras add TOML support, the bandit-baseline command-line tool, and SARIF output formatting. Documentation describes pre-commit configuration and integrations with Visual Studio Code, Sublime Text, Vim, Neovim, Emacs, GitHub Actions, Jenkins, Ruff, and Flake8. A published container image supports amd64, arm64, armv7, and armv8 architectures. The project says images are signed with Sigstore Cosign and provides source-verification instructions. Bandit is licensed under Apache License 2.0, with support links to GitHub issues and Discord.

Black Duck Coverity is a paid static analysis solution for finding security vulnerabilities and code quality defects in source code before software ships. It analyzes code without executing it, scanning across files and libraries in entire codebases. Black Duck lists support for 22 programming languages and more than 250 frameworks, along with standards including MISRA, AUTOSAR, ISO 26262, PCI DSS, CERT C/C++/Java, DISA STIG, OWASP Top 10, and CWE Top 25. Coverity is TÜV SÜD certified for IEC 61508-3 support-tool requirements and qualified for use up to ASIL D under ISO 26262 and Level A under DO-178C. The Code Sight IDE plug-in offers real-time results, issue summaries, and code fixes. IDE, SCM, and CI integrations can trigger scans on commits and pull requests; listed connections include GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, and others. Deployment can be fully air-gapped on premises, including Kubernetes clusters. Pricing is customized to team size and codebase and supplied by quote.