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DeepSource vs Semgrep

Features, pricing and Editor Score side by side — to help you pick the right coding & development tool in 2026.

Daniel ReedBy the AInexfinder Editorial Team·Overseen by Daniel ReedUpdated October 2026How we compare →

Quick verdict

DeepSource edges it by 0.2 on our Editor Score. Pick DeepSource if you want inline AI review comments on pull requests; choose Semgrep for SAST static analysis with custom rule support. On pricing, both ship a free or freemium tier, so you can try each before paying.

DeepSource vs Semgrep at a Glance

DeepSource logo DeepSourceSemgrep logo Semgrep
PricingFreemiumFreemium
Free tier
Best forinline AI review comments on pull requestsSAST static analysis with custom rule support
DeepSource logo

DeepSource

Freemium

DeepSource is an AI code review platform combining over 5,000 deterministic static analysis rules with AI review agents, covering security, quality, complexity and coverage. It includes SAST, SCA, IaC security and Autofix, and the site states DeepSource has joined Harness.

  • Hybrid design uses each method where it is strong instead of picking a side
  • Deterministic rules give a gate that can be trusted to be consistent
  • AI agents catch reasoning defects no pattern can express
  • False positives named as the explicit enemy rather than an accepted cost
  • Cannot find runtime, load-dependent or integration defects at all
  • No visibility into business logic correctness, only into code correctness
  • Architectural problems remain invisible to file-level inspection
Semgrep logo

Semgrep

Freemium

AI-assisted code, supply chain and secrets security Category: Coding & Development.

  • High signal-to-noise with strong false-positive reduction
  • Generous free Community Edition
  • Deep integration into developer and CI/CD workflows
  • SAST static analysis with custom rule support
  • Advanced custom rule writing has a learning curve
  • Top AI and enterprise capabilities require paid plans
  • Integrations may not cover every app in your stack

Which Should You Choose?

Choose DeepSource if…

  • you want inline AI review comments on pull requests
  • a free or freemium plan is important

Choose Semgrep if…

  • you want SAST static analysis with custom rule support
  • a free or freemium plan is important

DeepSource vs Semgrep: The Verdict

Your use case decides this one: DeepSource leans into inline AI review comments on pull requests, while Semgrep is built for SAST static analysis with custom rule support. Weigh features and pricing for your workflow. Both have a free or freemium tier, so spin up each and keep the one that clicks.

Frequently Asked Questions

Is DeepSource better than Semgrep?

Neither is universally better — it depends on your budget and which features matter most. The side-by-side breakdown above shows where each one wins.

What is the difference between DeepSource and Semgrep?

DeepSource (freemium) is best for inline AI review comments on pull requests, while Semgrep (freemium) is best for SAST static analysis with custom rule support. See the full feature and pricing comparison above.

Is DeepSource or Semgrep cheaper?

Both have paid plans — pricing depends on your usage tier. Open each tool's review for current prices, and watch for free trials.

Which is better for beginners, DeepSource or Semgrep?

DeepSource is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.

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About the Authors

Olivia Bennett
Olivia Bennett

AI Tools Comparison Analyst

Olivia runs side-by-side comparisons and benchmarks, digging into pricing, features, and real-world performance so readers can choose between competing AI tools with confidence.

ComparisonsBenchmarkingPricing analysis
Daniel Reed
Daniel Reed

Senior AI Tools Reviewer

Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.

Hands-on reviewsProduct testingAI software

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Last updated October 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) — see our methodology.