DeepCode by Snyk Code vs CodeQL (GitHub)
Compare security AI Tools
DeepCode by Snyk Code
Developer-first SAST in Snyk powered by DeepCode AI, scanning IDEs and PRs with fix guidance; plans range from Free to Team and Enterprise.
CodeQL (GitHub)
GitHub's semantic code analysis engine that treats code as data. Query your codebase to find security vulnerabilities, detect bugs, and enforce coding standards across 10+ languages with automated scanning.
Feature Tags Comparison
Only in DeepCode by Snyk Code
Shared
Only in CodeQL (GitHub)
Key Features
DeepCode by Snyk Code
- • Real-time SAST feedback in IDE and PRs
- • DeepCode AI Fix suggestions for remediation
- • Language coverage across major stacks
- • CLI and CI integrations for pipelines
- • Usage limits per plan with upgrades
- • Policies and audit logs on higher tiers
CodeQL (GitHub)
- • Variant analysis | Security vulnerability detection | Custom query language (QL) | 2,000+ built-in queries | Data flow analysis | Control flow graphs | Multi-language support | GitHub Actions integration | Pull request scanning | SARIF output | CI/CD integration | Query console | Code scanning alerts | Batch analysis
Use Cases
DeepCode by Snyk Code
- → Pre-merge scanning in PRs
- → Developer feedback during coding
- → Security gates in CI for critical issues
- → Prioritization by reachable data flows
- → Education via code-level fix examples
- → Governed rollouts across repositories
CodeQL (GitHub)
- → Security vulnerability scanning
- → finding zero-days
- → code quality enforcement
- → bug detection
- → compliance validation
- → open source security
Perfect For
DeepCode by Snyk Code
appsec engineers, platform teams and developers seeking fast SAST feedback inside existing workflows
CodeQL (GitHub)
security researchers, DevSecOps teams, open source maintainers, security engineers, compliance officers, platform engineers, enterprise development teams
Capabilities
DeepCode by Snyk Code
CodeQL (GitHub)
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