The best SAST tool for a small team is the one that supports your languages, runs in the CI system you already use, and produces few enough alerts that people read them. For most teams that means starting with a free tool that runs in pull requests, then paying only when you hit a specific limit.
Safeguard publishes this guide and sells a competing product, so we describe other tools only from their own documentation. Details are as of 19 October 2026 and vendors change plans often.
Key takeaways
- Choose on three things: language coverage, where it runs in CI, and how noisy the output is on your own code.
- Free options exist from several vendors, but each has a different catch: a repo type, a contributor cap, a license on the rules, or a feature held back for a paid tier.
- Trial two tools on one real repository for a week and compare the findings your team would actually fix.
- Language-specific scanners such as Bandit, gosec and Find Security Bugs are cheap to add next to a general tool.
What should a small team need from a SAST tool?
A small team needs a scanner that finds real injection and unsafe-API bugs in pull requests without a full-time person to tune it. The OWASP community page lists the usual strengths of SAST: it scales, it can run repeatedly in CI, and it points to a file, line and snippet. It also lists the usual weaknesses, including many false positives and trouble with code that cannot be built without libraries or build instructions.
That second list is why noise tolerance matters more than feature count when nobody on the team does security full time.
Which SAST tools are worth a small team's trial?
Five general tools come up most often, and each one's docs say something specific about fit. The table uses only what those docs state.
| Tool | How it runs | Free option, as documented | Notes from the docs |
|---|---|---|---|
| Semgrep | CLI and CI, code analyzed locally by default | Community Edition engine is LGPL-2.1. AppSec Platform Team tier free for up to 10 contributors on private repos | Community Edition analyzes within a single function or file. Cross-file analysis is in the platform. Semgrep-maintained rules are licensed for internal business use |
| CodeQL on GitHub | GitHub Actions or external CI | Code scanning is available on public repos. Private repos need a paid GitHub Code Security license | Supports C/C++, C#, Go, Java/Kotlin, JavaScript/TypeScript, Python, Ruby, Rust, Swift and Actions workflows |
| SonarQube Community Build | Self-managed server | Free | Sonar's downloads page lists taint analysis and branch and pull request analysis under paid editions |
| Snyk Code | IDE, CLI, API, CI, pull requests | Free plan lists SAST at 100 tests per month | Uses a semantic engine with data flow analysis. Team plan lists 1,000 tests per month |
| GitLab SAST | GitLab CI | Free and Premium include basic open-source analyzers | Advanced SAST with cross-file scanning is in Ultimate |
Which tool fits which situation?
Each tool fits a different starting point, so match your situation first.
- You host on GitHub with public repositories. CodeQL is available there without a paid add-on, per GitHub's docs.
- You host on GitHub with private repositories and a tight budget. Semgrep run locally or in CI is one route. Check the rules license against how you use it.
- You want one self-hosted server for quality and security. SonarQube Community Build is free and self-managed. Confirm the security depth you need is in the edition you run.
- Developers want feedback in the IDE. Snyk Code lists IDE plugins, CLI and pull request checks.
- You are on GitLab. The built-in SAST jobs cover the common languages at the free tier.
How do I choose in an afternoon?
Run a short bake-off on one real repository instead of reading comparison charts. Use this checklist.
- List your languages and frameworks and strike any tool whose docs do not name them.
- Note your CI platform and confirm the tool has a documented way to run in pull requests there.
- Run two candidates on the same repository and count findings.
- Have a developer triage the first 20 findings from each and record how many were real.
- Check what happens on the free tier when you add a person or a repository.
- Check the rule license if you build a product or service on the results.
- Decide whether findings can go to your existing tracker or pull request comments.
Should a small team add a language-specific scanner too?
Yes, if one exists for your main language and it is free. Bandit targets Python and builds an AST for each file. gosec checks Go through its AST and SSA representations and is Apache-2.0. Find Security Bugs is a SpotBugs plugin for Java web applications that reports 144 vulnerability types. They overlap with general tools, so run them for a week and keep the one whose findings your team trusts.
Does SAST cover dependencies?
No. SAST reads your own source. Vulnerable packages are a different problem. You can paste a manifest into the free in-browser dependency scan with no login, and the file stays on your machine, up to 100 dependencies. See the Gold registry for CVEs with CISA KEV status. To see what a code scan report looks like, click through the interactive SAST demo.
Frequently asked questions
What is the best free SAST tool for a startup?
It depends on your host and languages. Semgrep, CodeQL on public repos, SonarQube Community Build and Snyk's free plan all list a free option, each with limits described above. Trial two on your own code.
Do small teams need a paid SAST tool?
Not at the start. Teams usually pay when they need cross-file analysis, pull request analysis on private repos, central policy or support. Decide from a limit you actually hit.
How long does it take to set up SAST?
A first scan on a repository is usually a command or a workflow file. Tuning the output is where the time goes, so plan a week.
Is SAST enough on its own?
No. OWASP notes SAST finds only a relatively small share of application flaws. Pair it with dependency scanning and a runtime test.
Should SAST block pull requests from day one?
Start by reporting only, tune for a couple of weeks, then block on high severity findings. See our guide to SAST in pull requests.
Sources
- Semgrep repository README: https://github.com/semgrep/semgrep
- Semgrep FAQ: https://docs.semgrep.dev/faq/overview
- GitHub, About code scanning with CodeQL: https://docs.github.com/en/code-security/code-scanning/introduction-to-code-scanning/about-code-scanning-with-codeql
- GitHub, About code scanning: https://docs.github.com/en/code-security/code-scanning/introduction-to-code-scanning/about-code-scanning
- GitHub, About GitHub Advanced Security: https://docs.github.com/en/get-started/learning-about-github/about-github-advanced-security
- SonarQube downloads and editions: https://www.sonarsource.com/products/sonarqube/downloads/
- Snyk plans: https://snyk.io/plans/
- Snyk Code docs: https://docs.snyk.io/scan-with-snyk/snyk-code
- GitLab SAST docs: https://docs.gitlab.com/user/application_security/sast/
- Bandit docs: https://bandit.readthedocs.io/en/latest/
- gosec: https://github.com/securego/gosec
- Find Security Bugs: https://find-sec-bugs.github.io/
- OWASP Source Code Analysis Tools: https://community.owasp.org/Source_Code_Analysis_Tools
Last reviewed: 19 October 2026.
