Snyk vs Semgrep: A Deep Technical Comparison (2026)

Quick verdict: Semgrep outperforms Snyk on SAST in independent benchmarks (EASE 2024). Snyk has the stronger SCA platform (Forrester Wave Leader Q4 2024). Running Snyk for SCA and Semgrep for SAST is the most common practitioner pattern and typically costs less than Snyk Enterprise alone.

Snyk and Semgrep are two of the most widely adopted application security tools. Both cover SAST and SCA. Both integrate into developer workflows. Both claim to reduce noise.

They come from very different starting points, though. Snyk began as an SCA tool and added SAST later. Semgrep started as a SAST pattern-matching engine and expanded into SCA. Those origins shape everything: architecture, accuracy profiles, pricing, and where each tool is strongest.

This comparison draws on academic benchmarks, independent security assessments, G2 and Gartner reviews, Vendr pricing data, and official documentation. Where vendor claims diverge from independent findings, both are noted.

What Snyk and Semgrep actually are

Snyk

Snyk launched in 2015 as a developer-first SCA tool focused on open-source dependency vulnerabilities. It now ships five products: Open Source (SCA), Code (SAST), Container, IaC, and API & Web (DAST, via its Probely acquisition). Snyk is a CVE Numbering Authority and maintains its own vulnerability database.

Snyk Code, its SAST engine, came from the 2020 acquisition of DeepCode, an ETH Zurich spin-off. DeepCode's approach uses AI-based data flow analysis rather than traditional pattern matching. Snyk claims it was trained on 25 million+ data flow cases.

The platform play is Snyk's core pitch: one tool for SCA, SAST, containers, infrastructure as code, and API security. One dashboard, one policy engine, one developer experience.

Semgrep

Semgrep originated at Facebook (now Meta) as a successor to an internal tool called sgrep. Return To Corp (later renamed Semgrep, Inc.) open-sourced the engine in 2020 and built a commercial platform around it.

The core idea: write security rules using the target language's own syntax. If you want to find hashlib.md5(...) in Python, you literally write hashlib.md5(...) as your pattern. This makes Semgrep approachable for developers who aren't security specialists.

Semgrep now ships three products: Semgrep Code (SAST), Semgrep Supply Chain (SCA with reachability analysis), and Semgrep Secrets (secrets detection). The SAST engine exists in two tiers: the open-source Community Edition (CE) and the proprietary Pro engine with cross-file analysis.

How each tool works under the hood

Snyk's architecture

Snyk Open Source (SCA) builds a dependency graph from your manifest files (package.json, pom.xml, go.mod, etc.) and matches it against Snyk's proprietary vulnerability database. The database is curated by a dedicated security research team and includes severity scores, exploit maturity data, and remediation advice. For C/C++, Snyk uses fingerprint-based detection of unmanaged dependencies, a capability unique among SCA tools.

Snyk Code (SAST) uses the DeepCode AI engine. It processes code server-side, building a semantic "code graph" that captures data flows across files. The engine uses machine learning models trained on known vulnerability patterns rather than hand-written rules. This approach means Snyk Code can detect patterns it wasn't explicitly programmed for, but it also means the detection logic is opaque. You cannot inspect or modify the rules that drive findings.

Snyk Code does support custom rules, but only as an Early Access feature on the Enterprise plan. These rules use a proprietary Datalog-based query language that runs against Snyk's internal "event graph." Pre-built templates cover common patterns like Taint and DataFlowsInto with predicates such as PRED:XssSink and PRED:SqliSink.

Semgrep's architecture

Semgrep parses source code using tree-sitter parsers, converts the AST into a language-agnostic Intermediate Language (IL), and matches user-defined YAML rules against that IL. This is the core pipeline for both CE and Pro.

The analysis depth depends on your tier:

• CE (open-source): Single-file analysis. Cross-function constant propagation. Taint tracking within a single function only (intraprocedural).
• Pro --pro-intrafile: Cross-function analysis within a single file (interprocedural). Available for all supported languages.
• Pro --pro (full): Cross-function AND cross-file analysis. Only available for C#, Go, Java, JavaScript, Kotlin, Python, TypeScript, and C/C++.

Semgrep's own documentation is transparent about CE's limitations. The README states that CE "will miss many true positives" compared to Pro, because single-function taint tracking cannot follow data flows across function boundaries or files.

Cross-file analysis has practical constraints. It defaults to falling back to single-file mode if memory exceeds 5 GB or analysis time exceeds 3 hours. GitHub issue #10761 reports that interfile taint results can disappear with codebases exceeding 1,000 files. Issue #9975 documents the engine being killed by memory pressure. Semgrep recommends 4-8 GB of RAM per core for cross-file scans.

Semgrep Supply Chain (SCA) parses lockfiles and uses reachability analysis to determine whether a vulnerable function in a dependency is actually called by your code. Semgrep claims this reduces SCA false positives by 95%, though no independent study has verified that number.

Language and ecosystem support

SAST language coverage

Summary: Snyk Code supports roughly 17 languages at GA. Semgrep provides full cross-file analysis for 8 languages, cross-function analysis for about 8 more, and experimental coverage for 20+ languages total. Semgrep's rule registry includes 2,400+ community rules and 20,000+ proprietary Pro rules, with third-party contributions from Trail of Bits, GitLab, and others.

The word "supported" deserves scrutiny. GA status for a language does not mean equal depth of analysis across all vulnerability types. A tool might detect SQL injection in Python but miss framework-specific XSS patterns in the same language.

SCA ecosystem coverage

Snyk Open Source covers roughly 18 ecosystems. Semgrep Supply Chain covers 14 languages with reachability analysis available for 12 of them.

The notable gap: Snyk's fingerprint-based detection of unmanaged C/C++ dependencies has no equivalent in Semgrep. For teams with significant native code, this matters.

Detection accuracy: what the independent data says

Accuracy benchmarks for SAST tools are sparse. Most comparisons are vendor-funded or use synthetic test suites that don't reflect real-world code. A few independent studies stand out.

EASE 2024 academic benchmark

The most rigorous recent study comes from the 28th International Conference on Evaluation and Assessment in Software Engineering (EASE 2024, ACM). Researchers tested four SAST tools against 170 manually curated commits with known vulnerabilities in production Java code.

Detection rates with default configurations:

All four tools combined detected 38.8% of vulnerabilities. That means 61.2% of real-world Java vulnerabilities were undetectable by any of the four tools with default rule sets.

Important caveats: this tested Java only, with default configurations. Semgrep's custom rule capability could improve results for specific CWE categories. Snyk Code does not offer comparable rule customization. The related ESEC/FSE 2023 study by Li et al. found similar results: only 12.7% of real-world vulnerabilities detected by individual tools.

Vendor claim vs. reality: Snyk positions Code as a competitive SAST engine. In the only independent academic benchmark, it had the lowest detection rate of all four tools tested.

Doyensec benchmark (Semgrep CE vs Pro)

Security consultancy Doyensec tested Semgrep CE against Semgrep Pro on OWASP test applications. This was commissioned by Semgrep, but conducted independently.

Neither version produced significant false positives on these test apps.

Vendor claim vs. reality: Semgrep claims Pro "increases true positives by 250% vs CE." The Doyensec study found 50-71%. The 250% figure has no independent verification.

G2 and Gartner scores

On G2, Snyk holds a 4.5/5 rating from 125+ reviews. Semgrep holds 4.7/5 from 38 reviews. Snyk's G2 false positive score is 6.8/10, which is notably low and consistent with practitioner complaints about noise.

Multiple Semgrep G2 reviewers specifically praise "minimal false positives in analysis results." Four separate reviews mention this.

On Gartner Peer Insights, Snyk has 202+ reviews and a 4.4/5 rating. It's a 3x Gartner Customers' Choice for AST (2024). Semgrep has 14 Gartner reviews. The sample size gap limits direct comparison.

DryRun Security benchmark (C#)

DryRun Security tested multiple SAST tools against an ASP.NET Core application. Both Snyk and Semgrep (along with CodeQL and SonarQube) missed IDOR/broken access control, user enumeration, and authentication logic flaws. Both caught SQL injection. Semgrep missed ASP.NET Core-specific XSS patterns. Snyk caught basic XSS but missed framework-specific variants.

The business logic blind spot

No SAST tool reliably catches business logic vulnerabilities. Broken access control, authentication flaws, and authorization bypasses require understanding application semantics that pattern-matching and data-flow analysis cannot capture. This is a structural limitation shared by every tool in this category.

CI/CD integration and developer workflow

Platform support

Semgrep also offers Managed Scans, where Semgrep's infrastructure clones your repository and runs the scan. Over 40% of Semgrep customers use this mode, including Dropbox, Snowflake, Shopify, and Figma.

PR comments and diff-aware scanning

Both tools support diff-aware PR scanning that only surfaces new findings. There is one important architectural difference: Semgrep's cross-file analysis does not run on diff-aware PR scans. It only runs on full repository scans. If a PR introduces a vulnerability that requires cross-file taint tracking to detect, it won't be caught until the next full scan.

Snyk does not have this limitation because its SAST engine processes the full codebase server-side.

Suppressing findings

Snyk uses a .snyk policy file (YAML format) with the snyk ignore CLI command. One catch: the .snyk file ignore mechanism is not supported for Snyk Code (SAST). Snyk Code ignores must be managed through the web UI. This creates a split workflow where SCA and IaC findings can be suppressed via code, but SAST findings cannot.

Semgrep uses inline // nosemgrep comments that can target all rules or specific ones: // nosemgrep: rule-id-1, rule-id-2. The simplicity is a double-edged sword. GitHub issue #322 documents the governance concern: developers can suppress security findings without AppSec team visibility.

Scan speed

Semgrep is consistently reported as fast. G2 reviewers describe it as "blazingly fast...completes in seconds on every pull request." Trail of Bits notes that "scanning with Semgrep usually takes minutes" even for large codebases.

Snyk Code sends code to the cloud for analysis, which adds network latency. A Bearer/Cycode benchmark found Snyk "significantly slower compared to others." For teams running scans in CI on every PR, the speed difference compounds.

Where SAST and SCA overlap

Both tools now cover both SAST and SCA, which raises a natural question: how do the overlapping capabilities compare?

SAST: Snyk Code vs Semgrep Code

Snyk Code uses ML-based detection with an opaque rule set. Semgrep Code uses pattern-matching with transparent, editable rules. In independent benchmarks (EASE 2024), Semgrep CE outperformed Snyk Code on detection rates, though neither performed well in absolute terms.

Semgrep Pro's cross-file analysis is the premium tier. In the Doyensec benchmark, it caught 50-71% more true positives than CE. If you're evaluating Semgrep for SAST, the Pro engine is where the real value sits. CE alone leaves significant gaps.

SCA: Snyk Open Source vs Semgrep Supply Chain

Snyk's SCA is more mature and more widely recognized. It was named a Leader in the Forrester Wave Q4 2024 for SCA and labeled a "Customer Favorite." Semgrep Supply Chain was not included in the Forrester evaluation.

Semgrep's differentiator is reachability analysis baked into the SCA workflow. Rather than just flagging every vulnerable dependency, it checks whether your code actually calls the vulnerable function. Snyk has reachability analysis too, but only for Java and JavaScript, and it's still in Early Access for CLI/CI use.

An NC State University study (ESEM 2021) compared 9 SCA tools and found vulnerability counts varied from 17 to 332 across tools for the same Maven project. Snyk was among only 2 of 5 npm tools that reported all possible vulnerable dependency paths.

Running both

Some teams run Snyk for SCA and Semgrep for SAST. This makes sense if you want Snyk's mature vulnerability database for dependency scanning and Semgrep's customizable rule engine for code analysis. The overlap introduces duplicate findings, though, especially for vulnerabilities detectable by both SAST and SCA (like known-vulnerable library usage patterns).

Rule customization and extensibility

This is where the tools diverge most sharply.

Semgrep's rule system

Semgrep rules are YAML files that use the target language's syntax for patterns. A minimal rule needs five fields: id, message, severity, languages, and pattern.

Available operators include pattern, patterns (AND), pattern-either (OR), pattern-not, pattern-inside, pattern-regex, metavariable-regex, metavariable-comparison, and focus-metavariable. Taint rules use mode: taint with pattern-sources, pattern-sinks, pattern-sanitizers, and pattern-propagators.

Practitioners consistently praise this approach. Doyensec found that "someone can become reasonably proficient with the tool in a matter of hours." One Hacker News user wrote: "I just wrote this Semgrep rule in 45 seconds which replicates the TC201 rule from tryceratops." Josh Grossman, an OWASP contributor, called custom rule writing "the sheer power, simplicity, and flexibility" of Semgrep.

The Semgrep registry includes 2,400+ community rules and 20,000+ proprietary Pro rules. Trail of Bits, GitLab, and other organizations contribute rules publicly.

Snyk Code's custom rules

Snyk Code custom rules are Early Access, Enterprise-only, and use a proprietary Datalog-based query language. This is not YAML and not code-like. Rules run against Snyk's internal "event graph" representation.

Pre-built templates exist for common patterns, but writing rules from scratch requires learning Snyk's proprietary query language. No public rule registry exists. The community cannot contribute or share rules.

The gap

If rule customization matters to your workflow, the difference is stark. Semgrep treats custom rules as a first-class feature available to all users. Snyk treats them as an enterprise add-on still in early access. For teams with internal coding standards, banned API patterns, or framework-specific security requirements, Semgrep offers capabilities that Snyk currently cannot match.

Pricing

Snyk pricing tiers

Semgrep pricing tiers

What teams actually pay

Vendr data shows Snyk median costs around $34,886/yr at 50 developers and $67,552/yr at 100 developers. One PeerSpot enterprise reviewer reported paying "half a million dollars per year" for a large deployment. Vendr benchmarking suggests renewal discounts of 38-42% are achievable, with expansion pricing reaching 40-45% median discounts.

A common complaint: Snyk gates SSO behind the Ignite tier at $1,260/yr per developer. Multiple Capterra reviewers describe the Snyk sales experience as "aggressive."

Approximate cost ranges by company size

Semgrep's free tier is notably generous. It includes the Pro engine, cross-file analysis, and all Pro rules for up to 10 contributors and 50 repos. Snyk's free tier is more restrictive, with hard test limits that small teams can hit quickly.

The Opengrep factor

In December 2024, Semgrep moved several features from open source to proprietary and changed the rules license to the "Semgrep Rules License." In response, 10+ companies forked Semgrep CE as Opengrep, including Aikido, Endor Labs, Jit, and Orca Security.

The core LGPL engine license did not change, but the episode highlighted a risk: Semgrep's open-source ecosystem depends on a single commercial company's licensing decisions. Hacker News commenters noted that the fork sponsors are competitors of each other with misaligned incentives, which raises questions about the fork's long-term cohesion.

For teams building on Semgrep's open-source tooling, this is worth watching.

Enterprise readiness

Snyk has a more mature enterprise feature set. Custom RBAC roles, FedRAMP authorization, multiple data residency regions, and a hierarchical multi-org structure give it an edge for large, compliance-driven organizations.

Semgrep's RBAC is limited to Admin and Member roles with a Teams feature for project-level access. Data residency options are narrower. FedRAMP is absent. For teams in regulated industries, particularly US government contractors, these gaps can be dealbreakers.

On Gartner Peer Insights, Snyk holds 202+ reviews with a 4.4/5 rating and is a 3x Customers' Choice for AST. Semgrep has 14 reviews. The enterprise adoption difference is visible in these numbers.

Known weaknesses

Snyk: top criticisms from non-vendor sources

1. False positive volume. G2 false positive score: 6.8/10. r/cybersecurity: "too noisy; there were too many FPs." This is the most frequent complaint across review platforms.

2. Weak SAST engine. Capterra: "SAST component is very weak." EASE 2024: lowest detection rate (11.2%) of four tested tools. Snyk's strength is SCA, not SAST.

3. Expensive and opaque pricing. Vendr data shows $35K-$90K/yr for 50-100 developers. SSO gated behind the $1,260/yr per developer Ignite tier.

4. Inconsistent scan results between interfaces. Practitioners report that CLI scans vs. GitHub-imported scans produce different results for the same codebase.

5. Performance at scale. GitHub API rate limits cause failing scans in large organizations. Cloud-based scanning is slower than local tools.

6. No practical custom SAST rules. Early Access, Enterprise-only, proprietary query language. For teams that need to write custom detection logic, this is a significant gap.

7. Aggressive sales experience. Multiple Capterra reviewers flag this independently.

Semgrep: top criticisms from non-vendor sources

1. CE has significant analysis limitations. Single-function taint only. Semgrep's own README acknowledges CE "will miss many true positives."

2. Cross-file analysis scaling issues. GitHub #10761: interfile taint results disappear with >1,000 files. #9975: engine killed by memory. Requires 4-8 GB RAM per core.

3. Licensing instability. December 2024 changes moved features from OSS to proprietary and changed the rules license. 10+ companies forked as Opengrep. Teams building on the open-source ecosystem now face vendor risk.

4. SCA is less mature. Not included in the Forrester Wave SCA evaluation. No reachability on transitive dependencies.

5. Enterprise features trail behind. Only 3 RBAC roles. Fewer data residency options. No FedRAMP. Limited ticketing integration compared to Snyk.

6. Noisy without curation. Broad default rule sets mix code quality findings with security findings. Teams need to invest time in rule selection and tuning.

7. Business logic vulnerabilities missed. Shared with all SAST tools, but worth noting: no amount of pattern matching catches broken access control or authentication logic flaws.

When to pick which

There is no universally correct answer. The right tool depends on what you scan, what you need to customize, and what you can spend.

Semgrep fits best when:

• Programmable detection is a priority. Your team writes internal frameworks, has banned APIs, or needs domain-specific rules. Semgrep's YAML rule system is a generation ahead of anything Snyk offers for custom detection.
• Budget matters. Semgrep's free tier gives you the Pro engine, cross-file analysis, and all Pro rules for up to 10 contributors. Snyk's free tier hits test limits fast.
• SAST is the primary need. In independent benchmarks, Semgrep CE outperformed Snyk Code. With Pro, the gap widens further.
• Scan speed is critical. Semgrep runs locally and completes in seconds on PR scans. Snyk's cloud-based analysis adds latency.

Snyk fits best when:

• SCA is the primary need. Snyk's vulnerability database, dependency graph analysis, and ecosystem coverage are best-in-class. Forrester named it a Leader for SCA in Q4 2024.
• You want a unified platform. SCA, SAST, container, IaC, and DAST in one product, one dashboard, one set of policies.
• Compliance requirements are strict. FedRAMP, custom RBAC, multiple data residency regions, and a hierarchical multi-org structure.
• No AppSec engineering team. Snyk works out of the box with curated defaults. Semgrep rewards investment in rule customization but requires someone to do that work.

Common scenarios

Early-stage startup (5-15 developers): Semgrep's free tier gives you production-grade SAST and SCA at zero cost. Hard to beat.

Growth-stage company (50-200 developers) with an AppSec team: Semgrep's rule customization lets your AppSec engineers encode institutional knowledge into automated detection. This scales better than manually triaging generic findings.

Enterprise (200+ developers) in a regulated industry: Snyk's FedRAMP authorization, custom RBAC, and multi-region data residency may be non-negotiable requirements.

Running both tools together: Use Snyk for SCA (where it's strongest) and Semgrep for SAST (where its customization shines). Accept some finding overlap. The combined cost will be lower than Snyk Enterprise alone if you use Semgrep's free or Team tier for the SAST component.

Open-source maintainer: Snyk's free tier includes SCA for open-source projects. Semgrep CE (and Opengrep) provide free, open-source SAST scanning. Both are solid options at zero cost.

Bottom line

Snyk is the better SCA platform. Semgrep is the better SAST engine. Neither is weak enough to dismiss, and neither is strong enough to be the only tool you evaluate.

The real question for most teams is not which scanner to pick. It's what happens after the scanner runs. Both tools will generate findings. Both will include false positives. Both will miss real vulnerabilities. The bottleneck is rarely detection. It's triage: deciding which findings are exploitable, which ones matter in your specific context, and which ones can wait.

If you're running either tool (or both) and finding that triage is still the bottleneck, that's the problem Konvu solves.

Related comparisons

• Snyk vs SonarQube: How Snyk's SCA strength compares to SonarQube's code quality enforcement and SAST depth.
• Semgrep vs SonarQube: Semgrep's custom rule engine and security focus against SonarQube's quality gates and compliance reporting.