Replacing Snyk with Open Source: SAST, DAST and SCA in 2026

I don’t pay for Snyk. Not because it’s bad — it’s a genuinely good product — but because there is a free stack that catches the vast majority of the same issues directly in CI, and the remaining gap hasn’t been worth roughly $600 per developer per year to close. On a team of fifteen engineers, that’s the price of a small EC2 fleet you actually need.

This post is about the open-source security tooling I actually wire into pipelines: Trivy for containers, dependencies and IaC, Semgrep for application code, Nuclei and OWASP ZAP for the live app, and a few honourable mentions. It’s not an exhaustive catalogue. It’s the stack I keep coming back to.

A note before we start: I run Trivy in production every day. The others I’ve used in various rotations, on various teams, with varying intensity. Where I’m leaning on research instead of years of production scars, I’ll say so.

What Snyk actually is

It’s easy to talk about “replacing Snyk” without being clear about what Snyk is. Snyk is a security platform, not a single tool. The four products that matter for this conversation:

• Snyk Code — SAST. Scans source code for vulnerabilities and insecure patterns.
• Snyk Open Source — SCA. Scans your dependency tree against known CVEs and license issues.
• Snyk Container — container-image vulnerability scanning, base image recommendations.
• Snyk IaC — Terraform, CloudFormation, Kubernetes manifests, Helm charts. Misconfiguration scanning.

Public list pricing for the full platform in 2026 sits around $52 per developer per month for the team tier, with the enterprise tier negotiated. What you’re paying for, beyond the scanners themselves:

• Auto-fix pull requests — Snyk opens a PR with a bumped dependency or a patched line of code. This is genuinely nice.
• A unified dashboard across SAST, SCA, container and IaC.
• Reachability analysis in Snyk Code — is this vulnerable function actually reachable from your call graph?
• Polished IDE integration with inline annotations.

It’s a good product. It’s an expensive product. For a lot of teams it’s good and expensive in the right proportions. For a lot of other teams it isn’t.

Trivy

If there’s one tool I would not give up, it’s Trivy. Aqua Security ships it under Apache 2.0, it’s one binary, it scans almost everything, and it’s the closest thing to a single-binary Snyk replacement that exists.

What Trivy scans, in one command each:

• Container images (trivy image nginx:1.30)
• Filesystems (trivy fs .)
• Git repositories (trivy repo https://github.com/example/repo)
• Kubernetes clusters (trivy k8s --report summary cluster)
• IaC — Terraform, CloudFormation, Helm, Kubernetes manifests (trivy config .)
• SBOM generation in CycloneDX or SPDX (trivy image --format cyclonedx --output sbom.json nginx:1.30)

A typical CI step for a Go service that builds a container image looks like this:

- name: Trivy filesystem scan
  uses: aquasecurity/trivy-action@master
  with:
    scan-type: fs
    scan-ref: .
    severity: HIGH,CRITICAL
    exit-code: 1

- name: Trivy image scan
  uses: aquasecurity/trivy-action@master
  with:
    image-ref: ghcr.io/example/api:${{ github.sha }}
    severity: HIGH,CRITICAL
    exit-code: 1
    ignore-unfixed: true

That single workflow covers what **Snyk Open Source + Snyk Container

• Snyk IaC** would charge you for. ignore-unfixed: true is the flag I always reach for — there is no value in failing a build for a CVE that has no upstream patch yet. You’re just creating noise.

Where Trivy genuinely wins:

• One binary, no daemons, no agents.
• Speed. Scans are seconds, not minutes.
• The vulnerability database is fast-moving and curated.
• Native SBOM output in formats the rest of your toolchain expects.

Where Trivy doesn’t reach:

• It isn’t a SAST tool. It will tell you that [email protected] has a prototype-pollution CVE, not that your code does eval(request.body).
• The default dashboard story is “your CI logs.” If you want a UI, you bolt on something like DefectDojo or feed JSON into your own system.

For container, dependency and IaC scanning, Trivy is the answer.

Semgrep

For static analysis of application code, Semgrep is the open-source SAST I see picked most often, and the one that survives contact with developers without becoming the tool nobody reads the output of.

It ships under LGPL, runs locally, doesn’t upload your code, and uses a YAML rule format that is genuinely readable. The community ruleset is 2,000+ rules across most languages anyone actually writes — Python, JavaScript/TypeScript, Go, Java, Ruby, C#, Kotlin, and so on. There’s also a Pro tier at around $30 per developer per month that adds taint analysis and roughly 20K proprietary rules.

A custom rule, in the format Semgrep uses, is the part that hooks people:

rules:
  - id: hardcoded-jwt-secret
    pattern: jwt.sign($PAYLOAD, "...")
    message: JWT signed with a hardcoded secret
    languages: [javascript, typescript]
    severity: ERROR

That’s it. No DSL to learn beyond YAML and pattern syntax. The pattern matches code, not text — "..." is a metavariable for a string literal, not a regex. Run it locally:

semgrep --config p/owasp-top-ten --config ./custom-rules .

Or in CI:

- name: Semgrep
  uses: returntocorp/semgrep-action@v1
  with:
    config: >-
      p/owasp-top-ten
      p/security-audit
      p/secrets      

Worth flagging: Semgrep relicensed parts of its tooling in 2025, which sparked a community fork. The OSS engine and community rulesets remain freely available under the original license. If you’re rolling Semgrep into a regulated environment, read the current license terms first — that’s true of any tool, but worth saying out loud for Semgrep specifically.

What Semgrep is good at: finding the bad patterns Snyk Code finds, in your code, in seconds, without a SaaS dependency.

What Semgrep is not good at: matching Snyk Code’s reachability analysis. Semgrep tells you “this pattern exists in your code.” Snyk Code, on a good day, tells you “this pattern exists in your code and a real request can reach it.” That’s a meaningful gap if your team is drowning in findings.

Nuclei

For dynamic application security testing, Nuclei from ProjectDiscovery has become my default. It’s MIT-licensed, written in Go, and the entire scanning logic is YAML templates. There are thousands of community templates in the nuclei-templates repository covering CVE detections, misconfigurations, default credentials, and a long tail of internet-exposed product fingerprints.

A basic scan against a staging environment:

nuclei -u https://staging.example.com \
       -t cves/ -t exposures/ -t misconfiguration/ \
       -severity high,critical

The -dast flag, added in more recent releases, fuzzes parameters for live web app vulnerabilities — XSS, SSRF, open redirects, command injection. That’s where it crosses from “is this server exposing the Spring Boot actuator” into “can I inject into your login form.”

In CI:

- name: Run Nuclei
  uses: projectdiscovery/nuclei-action@main
  with:
    target: https://staging.example.com
    templates: cves,exposures,misconfiguration
    severity: high,critical

Nuclei is fast — thousands of templates against a target in a couple of minutes — and the template format is friendly enough that writing a custom check for your own product is a half-hour job, not a sprint.

Honest limits: Nuclei is best at known patterns. It’s a pattern-matcher with a network connection. It won’t reason about your authentication flow the way a human pentester will. Pair it with ZAP for the deeper, slower checks.

OWASP ZAP

OWASP ZAP is the elder of the open-source DAST world, Apache 2, maintained these days by Checkmarx. It does what it has done for fifteen years: spiders your app, intercepts traffic, runs active and passive scans, and gives you a UI when you want one and a CLI when you don’t.

The headless ZAP scan in CI:

- name: ZAP baseline scan
  uses: zaproxy/[email protected]
  with:
    target: https://staging.example.com
    fail_action: true

The baseline scan is the passive one — it spiders the app, identifies headers, cookies, redirects, common misconfigurations. For active scanning (the kind that actually pokes endpoints with malicious-looking payloads), use action-full-scan and only against environments that can take the abuse.

I keep ZAP in the toolkit for two reasons:

1. The GUI is still the best open-source tool I know of for the “sit down with a coffee and poke at this app for an hour” workflow.
2. Authenticated scans — recording a login flow and replaying it as ZAP scans — are more polished here than in Nuclei.

It’s slower than Nuclei. It’s also more thorough on the kinds of things spidering and active scanning find.

SonarQube Community, Bearer, CodeQL — the rest

A quick honest tour of the rest, because they show up in conversations even when I don’t always reach for them.

SonarQube Community Edition. Self-hosted, the dashboard people expect, 6,000+ rules across 15+ languages, IDE integration via SonarLint. If your team wants a single web UI with quality gates and trend graphs and the rest of it, this is the open-source one. It’s LGPL, runs in a container, talks to PostgreSQL. The trade-off is the operational cost of running it — at small scale, the JSON output of Trivy and Semgrep into your CI is genuinely cheaper.

Bearer. Apache 2, developer-friendly CLI, data flow analysis, OWASP/CWE rule mapping. I’ve spent less time with it; from research and a couple of evaluations it’s a credible SAST option with a sharper focus on privacy/PII flows than Semgrep. Worth a look if your compliance story leans on data-handling rules.

CodeQL. GitHub’s query-based semantic analysis engine. Free for public repositories, integrates natively with GitHub Actions, and the rulesets for common languages are excellent. The catch is the license — CodeQL’s terms restrict commercial use on private repositories outside GitHub’s products. Read the license before you build a workflow on it.

Grype (Anchore, Apache 2) for container scanning, and Syft for SBOM generation. They overlap with Trivy. If you’re already on Anchore for policy enforcement, the Grype/Syft pair fits cleanly. If you’re starting fresh, Trivy is the one-binary answer.

OSV-Scanner (Google, Apache 2) queries the OSV database directly. Good for Go, Python, JavaScript, Rust, Java. Lightweight, fast, and a good cross-check against Trivy’s results.

OWASP Dependency-Check. Mature, Java-based, thorough, slower than Trivy by a wide margin. If you’re in a regulated environment that lists Dependency-Check by name in compliance docs, run it. If you’re picking by capability in 2026, Trivy covers the same ground.

Comparison

What this stack misses

Be honest about the gaps, because they are real.

• Auto-fix PRs are the big one. Snyk opens a PR with the bumped dependency, the patched line, the safer alternative. The open-source stack finds the issue and hands it to you. For a team with a strong “we fix what we find” culture, this is fine. For a team with a long tail of dependency drift, the Snyk auto-PR is what actually moves the needle.

• Reachability analysis. Most open-source SAST tools tell you a vulnerable pattern exists. Snyk Code, on its best day, tells you a real request can reach it. The volume of findings you triage is meaningfully different. Semgrep Pro narrows the gap but does not close it.

• A unified dashboard. You can wire one up with DefectDojo or a custom stack — JSON in, dashboard out — but it’s work. Snyk hands you a dashboard on day one.

• IDE polish. SonarLint and the Semgrep extensions are fine. They are not the IDE experience of Snyk’s plugin.

What it wins

• Zero per-developer cost. On a team of fifteen, that’s roughly $9,000 a year that stays in the engineering budget.
• No vendor lock-in. The scan results live in your CI logs and your storage. You can rip out Trivy and put in Grype on a Tuesday afternoon.
• CI-native by design. Every tool here is a CLI that runs in a container in a pipeline. No agents, no proxies, no out-of-band data flows.
• Open source. You can patch, extend, fork, or simply read the source when a scanner behaves in a way you don’t expect. That has saved me more than once.
• Better defaults in regulated environments. Data stays where your code stays. For some teams this is the entire conversation.

Closing

The open-source security stack is more work to wire up and less shiny to look at than Snyk. There is no unified dashboard waiting for you on day one. There are no auto-fix PRs landing in your repo overnight. The IDE integration is good, not magical.

What it does — and what I have watched it do on real codebases — is catch the same CVEs, flag the same bad patterns, and break the same builds for the same reasons that Snyk does, at zero per-developer cost. Trivy in particular is one of the most under-celebrated tools in the entire DevOps landscape. One binary, one config, four categories of scan, and an output your CI already knows how to ingest.

The $52 per developer per month that Snyk charges is real, and in exchange you get a product that is polished, integrated, and genuinely well-built. For some teams that is exactly the right trade. For a small team shipping to Kubernetes with a culture of fixing what they find, the open-source stack catches the same issues for nothing, and the budget goes to something else.

Pick accordingly. The security part is the same either way; the convenience and the bill are not.