7 Best Semgrep Alternatives in 2026 (Fairly Compared)

Semgrep is a strong tool, and most teams do not leave it because it is bad at static analysis. They look for an alternative because they want more than static analysis in one place, because the per-product pricing adds up as they turn on Code, Supply Chain, and Secrets, or because they want a tool that opens fixes rather than surfacing findings to work through. This guide compares seven alternatives, says plainly where Semgrep still leads, and matches each option to the team it fits.

Quick take: if you want one platform across code, dependencies, secrets, and infrastructure with fixes opened for you, look at ARGUS. If you want a broad all-in-one at a flat price, Aikido. For deep enterprise SCA, Snyk. For dependency reachability, Endor Labs.

Why teams look for a Semgrep alternative

Three reasons come up most.

• Coverage beyond code. Semgrep is strongest on code and dependencies. Teams that also want secrets and infrastructure as code in one platform, without stacking separate products, start looking around.

• Pricing that stacks per product. Semgrep's paid Teams tier prices each product per contributor: Code $30, Supply Chain $30, Secrets $15 per contributor per month (source: semgrep.dev/pricing). Turning on all three across a team multiplies quickly.

• Fixes, not just findings. Semgrep surfaces high-quality findings and offers AI remediation credits, but teams increasingly want the tool to open the fix as a pull request, especially small teams with no security engineer to work the queue.

The 7 best Semgrep alternatives in 2026

1. ARGUS by Nexus Void

ARGUS is an AI-native platform for teams shipping AI-written code without a dedicated security hire. It covers code, dependencies, secrets, and infrastructure as code in one control plane, reviews every pull request, ranks findings by real reachability, and opens the fix as a pull request that a human merges. - Stands out: one platform across the whole supply chain; reachability ranking on every finding type; an AI fix agent that opens PRs; MCP-native, so it vets the output of your AI coding agents; usage-based pricing that starts at zero, not per product per contributor. - Falls short: limited custom rule authoring compared to Semgrep, and container coverage is not a focus, so verify on your stack. Newer than the incumbents. - Pricing: usage-based, starts free. Start for free · book a demo.

2. Snyk

Best for enterprises that need deep SCA and a mature ecosystem, with SAST, container, and IaC and DeepCode AI autofix. - Falls short: per-developer pricing that climbs with headcount (Team from $25 per developer per month, per snyk.io/plans), and false positives are its most cited G2 complaint.

3. Aikido Security

Best for lean teams that want one broad tool at a transparent flat price, bundling SAST, SCA, secrets, IaC, container, and cloud posture (widely listed near $36 per developer per month). - Falls short: breadth over depth, so validate SAST recall on your codebase.

4. Endor Labs

Best for teams whose main pain is dependency noise. Function-level reachability asks whether a vulnerable function is actually called, cutting false positives. - Falls short: strongest in the SCA and reachability lane rather than a full platform.

5. Checkmarx One

Best for large regulated enterprises that need deep SAST, DAST, SCA, and governance. - Falls short: quote-based pricing that often runs into six figures per year, and heavy setup for a small team.

6. SonarQube

Best for teams that want code quality and security together, with a strong self-hosted option and broad language support. - Falls short: more code-quality-first than a full supply-chain security platform.

7. GitHub Advanced Security

Best for GitHub-native teams: CodeQL SAST, secret scanning, and dependency review inside the workflow you already use. - Falls short: tied to GitHub, and CodeQL tuning has a learning curve.

At a glance

(Semgrep for reference: free up to 10 contributors and 10 repos; Teams from $30 per contributor per month per product; Enterprise custom. Source: semgrep.dev/pricing.)

When to stay with Semgrep

Switching is not always right. Stay with Semgrep if: - You want an open-source engine and the ability to write and own custom rules. This is Semgrep's signature strength, and few tools match it. - Deep multi-language static analysis is your priority and you have the appetite to tune rules to your standards. - A free tier for a small team, focused on code and dependencies, covers your need today.

Semgrep is a capable, well-regarded static analysis tool with a loyal developer following. The question is whether you need coverage, fixes, and one platform more than you need custom rules and open source.

How to choose

• Want one platform with fixes opened for you? ARGUS.

• Want the broadest single tool at a flat price? Aikido.

• Need deep enterprise SCA and governance? Snyk or Checkmarx.

• Care most about custom rules and open source? Stay with Semgrep.

Before you commit, seed a repo with known vulnerabilities and measure what each tool misses, not just what it flags.

FAQs about Semgrep alternatives

What is the best open-source alternative to Semgrep?

For static analysis, SonarQube has a strong self-hosted option, and Semgrep's own engine remains open source. If your goal is a platform that also fixes findings and covers dependencies, secrets, and IaC, ARGUS is the closest all-in-one alternative, with usage-based pricing that starts at zero.

Why do teams switch from Semgrep?

Usually to get coverage beyond code in one platform, to avoid pricing that stacks per product (Code, Supply Chain, and Secrets are priced separately, per semgrep.dev/pricing), or to get fixes opened as pull requests rather than findings to triage.

Which Semgrep alternative fixes issues automatically?

ARGUS opens the fix as a pull request for a human to merge, across code, dependencies, secrets, and IaC. Snyk offers autofix as well. Semgrep provides AI remediation credits, closer to guided fixing than opening the PR for you.

Related: ARGUS vs Semgrep · Best AI code security tools 2026 · ARGUS