10 Best Static Code Analysis Tools of 2026

SonarQube Cloud takes first place because it gives a small team the most static analysis for the least money and setup. The Team plan finds bugs, vulnerabilities and security hotspots across more than 35 languages, from C and C++ to Terraform, Kubernetes and GitHub Actions files, and reports them on every pull request. Sonar lists integrations with GitHub, Bitbucket, Azure DevOps and GitLab. Pricing is by lines of code rather than seats: the free tier covers private projects up to 50k lines, and Team starts at $34 a month for up to 100k lines with a 14-day trial. Sonar also ships plugins for Claude Code, Cursor, Codex and Copilot CLI, so agent-written code gets the same checks. The limits: deeper SAST and SCA sit in the paid Advanced Security add-on, larger codebases pay more per tier, and teams over 50 developers are directed to Enterprise, which adds 45+ languages, SSO and compliance reports.

Semgrep ranks second because it is the strongest security-first analyzer that a team can start using without a sales call. The free plan is unusually generous: up to 10 contributors and 10 repositories, cross-file analysis with Pro rules, 60 AI credits for triage and fixes, and CI/CD deployment through Semgrep's own infrastructure, with GitHub and GitLab sign-in. Teams costs $30 per contributor per month for Code (SAST), with Supply Chain at another $30 and Secrets at $15, and adds SSO and 20 AI credits per developer each month. That modular pricing is the main tradeoff: a team that wants SAST, SCA and secrets pays $75 per contributor, more than broader platforms. Semgrep also focuses on security findings rather than maintainability metrics like duplication, so teams that want code health dashboards may pair it with a quality tool. Enterprise adds on-prem SCM support, custom CI integrations, unlimited repositories and dedicated infrastructure.

GitHub Code Security is the natural choice for teams already on GitHub because code scanning appears in the pull request without connecting another vendor. It runs CodeQL, GitHub's semantic analysis engine, and Copilot Autofix suggests fixes with explanations for CodeQL alerts in pull requests and in the backlog. Agentic autofix can open pull requests for up to 25 alerts at a time, an AI scan for pull requests covers languages CodeQL does not support, and security campaigns help a team work through old findings. The product costs $30 per active committer per month and is sold as an add-on to GitHub Team or Enterprise, with Team listed at $4 per user a month. That makes it pricier per head than Codacy or Snyk's entry plan, and the AI scans draw on AI credits. It also does nothing for code on GitLab, Bitbucket or Azure DevOps. Public repositories get CodeQL and Copilot Autofix free.

Snyk Code places third because it puts SAST in the same subscription as dependency, container and infrastructure-as-code scanning, and both the free and Team plans are self-serve. The free plan covers all four scanners, with Snyk Code limited to 100 tests and 5 projects a month, which is enough to try it on a real repository. Team starts at $25 a month, is aimed at up to 10 developers, raises Snyk Code to 1,000 tests a month across 100 projects, and adds Jira integration and next-business-day support. Snyk counts only developers who committed to a monitored private repository in the last 90 days, so occasional contributors do not inflate the bill. The limits are clear: test caps apply per product, the Team plan tops out at 10 developers, and newer capabilities such as AI pentesting and coding-agent security sit behind an Enterprise Platform Subscription that bills credits at $1 each.

Codacy is the budget pick for teams that want pull request scanning without a security-tool price. Team costs $18 per developer per month billed yearly, or $21 monthly, and covers up to 30 developers and 100 private repositories with unlimited lines of code. It connects to GitHub, Bitbucket and GitLab, applies shared coding standards across 49 languages, and adds an AI reviewer, merge gates, coverage reports and malicious package detection. A free Developer plan runs the same analysis locally through IDE plugins, the CLI and an agent integration, and open source projects use Codacy free. The tradeoffs come at scale and depth. Custom rules, false positive detection, license scanning, DAST, container scanning, SSO and audit logs all sit on the quote-based Business plan, and Team stops at 30 developers. Codacy also has no Azure DevOps integration listed on its pricing page, which rules it out for teams on that host.

Qlty earns its place with the most open free plan on this list. Free allows unlimited public and private contributors and includes linting, auto-formatting, code coverage, duplication and complexity checks, SAST, SCA, secrets and IaC scanning, 1,000 analysis minutes and 100 AI autofixes a month. Everything runs on an open, extensible Rust CLI, so the same checks work on a laptop and in CI. Pro costs $20 per contributor per month and raises the allowance to 20,000 analysis minutes and 5,000 AI autofixes, adds shared configurations, trends, hotspots and a year of history, plus a REST API. Annual plans get two months free. The limits are analysis minutes, which busy monorepos can burn quickly, and depth: Qlty orchestrates linters and scanners for code health rather than offering the custom dataflow rules of Semgrep or Checkmarx. Monorepo support and audit logs require Enterprise at $30.

DeepSource suits teams that want classic static analysis and AI review under one predictable seat. Team costs $24 per user per month billed yearly and includes unlimited repositories, unlimited pull request reviews and unlimited formatting runs, with static analysis, SAST, IaC checks, code coverage and secrets detection. Autofix is unlimited on Team, and each user gets a $100 annual credit for AI Review, which finds bugs, security issues and anti-patterns in pull requests. Security leads get OWASP Top 10 and CWE/SANS Top 25 reports, and Enterprise adds self-hosted and airgapped deployment and bring-your-own keys for Anthropic, OpenAI or Google models. The metered parts need watching: AI Review beyond the credit costs $8 per 10K processed lines on Standard and $15 on Advanced, and dependency scanning includes 3 targets before charging $8 per target a month. Public repositories can use the free Open Source plan with 1,000 reviewed pull requests a month.

Checkmarx One is the enterprise platform on this list for organizations that want SAST to be one part of a central application security program. Its SAST engine combines rules-based and LLM-based scanning, which Checkmarx says extends detection to languages and frameworks that deterministic rules do not cover. The Essentials package bundles SAST, SCA, API security and application security posture management, and add-ons cover DAST, containers, IaC, secrets, malicious packages and AI assistants for triage, remediation and developer guidance. Findings show up in IDEs, pull request checks and pipelines with fix guidance. Checkmarx also keeps a SAST-only package for existing on-prem customers. The cost is opacity and effort: every package needs a custom quote, so we could not verify a price, and a platform with this many modules takes longer to roll out and tune than SonarQube Cloud or Semgrep. It ranks lower here on ease of use and value, not on scanning depth.

Veracode Static Analysis fits enterprises that must cover a large and mixed portfolio, including older and mobile code, under one policy. Veracode states support for more than 100 languages and frameworks, the widest claim on this list, and its patented path analysis reports every execution path an attacker could use to reach vulnerable code. Scans run in the IDE for quick feedback, in CI/CD pipelines where policy can stop flawed code from reaching product builds, and from a CLI. Veracode Fix adds AI-generated remediation, and the reporting focuses on policy, analytics and portfolio risk, which suits security leaders reporting to auditors or boards. The same platform sells SCA, DAST, container scanning and a package firewall. The drawbacks are the usual enterprise ones: there is no published price, so we left it pending, and onboarding is heavier than connecting a repository to SonarQube Cloud or Codacy.

Coverity is the specialist pick for embedded and safety-critical software, where a missed defect in C or C++ can mean a recall. Black Duck describes path-sensitive analysis with particular strength in C and C++, support for 22 programming languages and more than 250 frameworks, and a focus on surfacing true positives so remediation time goes to real defects. Its certifications set it apart: TÜV SÜD certifies Coverity as meeting IEC 61508-3 requirements for support tools, and it is qualified up to ASIL D under ISO 26262 and Level A under DO-178C, with a Qualification Kit for safety projects. Teams can run it on their own infrastructure or get the same engine as SaaS through Polaris fAST Static, bundled with Black Duck SCA and DAST. For web and SaaS teams it is overkill: pricing is a custom quote, setup is heavier than a pull request app, and language coverage is narrower than Veracode.