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Pricing is quote-only, and the platform takes real setup effort before it earns its keep. This page tracks every actively maintained SAST tool across two license tiers \u2014 free open-source and commercial \u2014 and goes deep on twelve picks. Further reading on application security from Expert Insights \u2014 buyers’ guides, comparison articles, and platform-specific shortlists.<\/p>\n<\/p>\n
Snyk built its reputation on dependency vulnerability scanning, and Snyk Code doesn’t match the depth of dedicated SAST tools like DeepSource or Semgrep. Everything is enriched by the Wiz Security Graph, which connects SAST, SCA, IaC, cloud configuration, identity, and runtime signals in one unified context model. With the Wiz Code ASPM platform and the SAST engine, developers now get actionable guidance, including the vulnerable code snippet, full runtime context, and AI remediation options. While standard “white-box” SAST tools analyze source code to detect vulnerabilities like SQL injections and XSS, they often lack visibility into how that code runs. PMD is a versatile static analyzer with rules for code quality, performance, and some security smells across many languages, and it integrates cleanly with Maven\/Gradle and CI.<\/p>\n<\/p>\n
It scans uncompiled source code across 35-plus languages and 80-plus frameworks, removing the build prerequisite that creates friction with many SAST tools. Best for Enterprises prioritizing consolidated AppSec with strong customization \u2013 Reviews flag reporting bugs have persisted across multiple releases<\/p>\n<\/p>\n
SAST tools scan human and AI-generated code to find security flaws before release. SAST looks at the source code to find issues before the app runs, while dynamic testing (DAST) checks for problems in a running application. This way, developers only act on relevant, high-confidence issues. To reduce false positives, you can use smarter, context-aware SAST tools that focus on actual code changes. SAST also helps teams meet compliance standards like OWASP Top 10 or PCI-DSS, and improves code quality overall. It allows developers to fix problems early, making the process faster, cheaper, and safer.<\/p>\n<\/p>\n
A SAST tool is only valuable if developers actually use it, so we heavily penalized platforms that forced engineers to leave their Integrated Development Environments (IDEs). As engineering teams push code to production multiple times a day, traditional security bottlenecks are no longer viable. It helps developers find and fix vulnerabilities early in the development process. Mend SAST integrates directly into your AI development workflow to secure both human-written and AI-generated code. It allows for automated security scans on every code change, providing immediate feedback to developers.<\/p>\n<\/p>\n
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For polyglot teams, Semgrep CE (30+ languages) or CodeQL on GitHub is the practical base, with language-specific tools layered on where depth matters. Endor Labs runs AI-native SAST inside a reachability-first platform that filters findings down to the code paths actually reached at runtime. Codacy runs security and code-quality checks on every pull request across 40+ languages, posting findings as inline annotations developers see in review. It is built for security teams managing many repositories under audit, not solo developers. Here is how all 37 active SAST tools compare at a glance, grouped by license \u2014 free and open-source, freemium, and commercial. I compare SAST tools \u2014 Semgrep, Snyk Code, Checkmarx, Veracode, CodeQL \u2014 by language coverage, false-positive rate, and CI\/CD fit.<\/p>\n<\/p>\n