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CodeQL vs Trivy

Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.

Entry price

From $30 per active committer/month (GitHub Code Security)

Free tier

Free and open source

Open source

What drives the bill

The metric that actually scales your invoice.

Free on public repos. For private repositories GitHub split Advanced Security into two products in April 2025: Code Security at $30 and Secret Protection at $19 per active committer/month, both now available on Team plans as well as Enterprise. CodeQL sits in Code Security. Billing counts active committers, not seats, which can surprise teams with many occasional contributors.

Free and open source. You pay in engineering time and CI minutes.

Free tier

Free for public repositories on GitHub.

Everything, self-hosted

Open source

MIT (queries)

Apache-2.0

Self-hostable

No-code authoring

Languages

JavaScriptTypeScriptPythonJavaC#GoRubySwiftKotlin
GoCodeless

Platforms

WebAPIDesktop
WebAPI

Fits teams

StartupScale-up / mid-marketEnterprise
Solo / side projectStartupScale-up / mid-marketEnterprise

Adoption

Widely used

GitHub (Microsoft) · since 2019

Category standard

Aqua Security · since 2019

Strengths

  • Interprocedural dataflow analysis finds real vulnerabilities that regex- and pattern-based tools cannot see.
  • Free on public repositories, with results in the GitHub security tab.
  • Custom queries let you encode organisation-specific security rules.
  • Free and covers container, IaC, secret and dependency scanning in one binary.
  • Fast enough to run on every image build without slowing the pipeline.
  • Excellent Kubernetes integration through the Trivy Operator.

Limitations

  • Writing custom CodeQL queries is a specialist skill with a steep learning curve.
  • Analysis is slow — minutes to tens of minutes, so it fits nightly better than per-commit.
  • Private-repo licensing through Advanced Security is expensive at scale.
  • No hosted dashboard or workflow — findings go to your pipeline output.
  • No reachability analysis, so alert volume is high on large images.
  • Reporting for compliance requires building it yourself.

Best for

GitHub-hosted projects wanting deep static security analysis, free if the repo is public.

Container and Kubernetes pipelines that need free, comprehensive scanning.

All of these integrate with: GitHub Actions, Jenkins.

Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.