Snyk Code Language Support in 2026: Full Matrix and Gaps

Snyk Code language support in 2026 covers roughly eighteen languages, with the mainstream set — Java, Kotlin, JavaScript, TypeScript, Python, C#, VB.NET, Go, PHP, Ruby, Scala, C/C++, Swift, and Apex — generally available, and a newer tier (Rust, Groovy, COBOL, Dart/Flutter, and Objective-C analysis) in Early Access gated to Enterprise plans. The matrix matters because Snyk Code (the SAST engine) and Snyk Open Source (the SCA engine) support different language sets, and assuming one implies the other is how teams end up believing code is being analyzed when only its dependencies are.

Here is the current matrix, what Early Access gating means in practice, where the genuine gaps are, and how to verify coverage for your stack rather than trusting a summary — including this one.

The 2026 matrix

Compiled from Snyk's supported-languages documentation as of mid-2026 (always confirm against docs.snyk.io before buying decisions — this table moves):

Three structural things the table shows. First, the SAST/SCA split is real in both directions: Elixir dependencies can be scanned but Elixir code cannot, while Apex and COBOL code can be analyzed despite having no SCA story. Second, Snyk has pushed into unusual territory — COBOL SAST is not something most competitors attempt, and it signals where enterprise demand actually is. Third, the newest additions consistently land as "Early Access on Enterprise plans," which is a licensing statement as much as a maturity one.

What Early Access gating means for buyers

An Early Access language is not merely beta-quality — it is unavailable on Free and Team tiers. If your stack includes Rust services and you are on the $25/developer Team plan, Snyk Code does not analyze your Rust, full stop; the capability exists but sits behind the Enterprise gate. For a team whose primary language is in that tier, the effective price of SAST coverage is an Enterprise contract, which changes the comparison math entirely.

Early Access also typically means a narrower rule set and evolving dataflow coverage. Vendors expand rules for new languages incrementally — injection and hardcoded-secrets rules arrive first, framework-aware taint tracking later — so "supported" for a six-month-old language and "supported" for Java describe different depths of analysis. There is no shortcut here except empirical testing: run the engine over a codebase with known, seeded issues and see what comes back.

Where the gaps are

Judged against what polyglot organizations actually run, the notable absences and soft spots in Snyk Code:

• Elixir — SCA only, no SAST. Phoenix shops need Sobelow or similar.
• Terraform/HCL and YAML infrastructure — handled by Snyk IaC, a separate engine and quota, not Snyk Code; teams comparing "SAST coverage" across vendors should be careful which engine a claimed language belongs to.
• Framework depth variance — language support does not guarantee your framework's sources and sinks are modeled. A SAST engine that knows Java but not your reactive framework's request-handling idioms will miss taint flows a framework-aware engine catches. Vendor docs list framework support separately; read that page for your stack, not just the language list.
• Rule transparency — Snyk Code's rules are proprietary and not user-extensible in the way Semgrep's are. If your appsec team writes custom rules as a core practice, that is an architectural mismatch no language matrix fixes.

The competitive context: GitHub CodeQL covers fewer languages with deep, queryable analysis; Semgrep covers more than thirty with shallower, fast, user-extensible rules; SonarQube's long tail of language plugins is broader still with mixed security depth. Snyk Code's positioning is speed plus a curated ruleset over the mainstream enterprise languages — a reasonable position, provided your languages are inside it and your plan tier unlocks them.

How to verify coverage for your stack

A concrete evaluation procedure that takes an afternoon:

1. Inventory languages by lines of code and by risk, not by repo count. A 5% COBOL tail processing payments outweighs a 40% JavaScript share serving marketing pages.
2. Check each language against the current docs page — the matrix above will drift — and note plan-tier gating for anything marked Early Access.
3. Run snyk code test on a representative repo per language (see our CLI guide for setup and flags) with a handful of deliberately seeded issues: one SQL injection, one XSS sink, one hardcoded credential. Coverage claims are cheap; detection on your code is the product.
4. Compare finding depth, not finding count. Ten dataflow findings with accurate source-to-sink traces beat forty pattern matches you must triage manually.
5. Confirm SCA coverage separately for the same languages — and check the DAST side too if you run web services, since dynamic testing catches the runtime and configuration classes no SAST matrix covers.

Where gaps remain, the workable pattern is a primary platform plus targeted supplements: Semgrep rules for an unsupported language, a community analyzer for the niche framework, wired into the same PR gate so developers see one signal. Multi-scanner aggregation is exactly the workflow platforms like Safeguard build for, but even hand-rolled, the principle stands — coverage should be designed per-language, not assumed from a vendor's headline number.

The trajectory

Two years of changes to this matrix show a clear direction: Snyk is expanding SAST breadth aggressively (Rust, Dart, COBOL are 2024-2026 era additions) while gating new languages to Enterprise, and enrichment is shifting toward AI-assisted triage and fix suggestions rather than raw language count. For buyers the practical takeaway is to price the tier that covers your languages — not the tier the sales conversation starts at — and to re-check the matrix at renewal, because both the coverage and the gating move.

FAQ

How many languages does Snyk Code support in 2026?

Around eighteen, counting Early Access entries: the mainstream set (Java, Kotlin, JS, TS, Python, C#, VB.NET, Go, PHP, Ruby, Scala, C/C++, Swift, Apex) generally available, plus Rust, Groovy, COBOL, Dart/Flutter, and Objective-C analysis in Early Access on Enterprise plans.

Does Snyk Code support Rust?

Yes, but as of mid-2026 Rust code analysis is Early Access and limited to Enterprise plans — Free and Team tiers do not get Rust SAST. Rust dependency scanning via Snyk Open Source is available generally.

Is Snyk Code the same as Snyk Open Source?

No. Snyk Code is SAST — static analysis of code you wrote. Snyk Open Source is SCA — matching your dependencies against a vulnerability database. They support different language sets and consume separate test quotas; check both columns for every language in your stack.

What should I use for languages Snyk Code does not cover?

Pair a supplement per gap: Semgrep (extensible, 30+ languages) or a language-native analyzer like Sobelow for Elixir, feeding the same PR gate as your main scanner so developers get one consolidated signal instead of per-tool noise.