| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Software composition analysis | Developer platform | 16% | 2 of 50 | 16% | 55 | accepted challenger | =heldSince September 2026: 16% → 16%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SCA | 16% | 16% | =heldSince September 2026: 16% → 16%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 of 50, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 2 | 0 | 1 | 4 |
| GPT-5.4 mini | 1 | 0 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 1 | 2 | 1 | 2 | 6 |
| Perplexity Sonar | 1 | 2 | 0 | 0 | 3 |
| Grok 4.20 | 2 | 1 | 1 | 1 | 5 |
| Mistral Small | 0 | 0 | 2 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 3 | 2 | 0 | 6 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 1 | 3 | 0 | 1 | 5 |
| Kimi K2 | 2 | 1 | 2 | 1 | 6 |
| GLM 4.7 FlashX | 2 | 0 | 1 | 1 | 4 |
| MiniMax M2.5 | 1 | 2 | 0 | 1 | 4 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 1 | 1 | 1 | 4 |
Verbatim evidence the judge attached to positive labels.
“Choose Snyk if you want a seamless developer experience with early vulnerability detection and integrated security scanning.” GLM 4.7 FlashX · SCA · comparative prompt · first choice
“Choose Snyk if you have a budget and want the best developer-first integration and workflow tools.” Gemini 3.5 Flash · SCA · comparative prompt · first choice
“Start with Snyk for most mid-market B2B due to its balance, high adoption, and dev-centric design” Grok 4.20 · SCA · direct prompt · first choice
“If I had to pick one for a typical mid-market B2B software company, I'd start with Snyk Open Source” GPT-6 Luna · SCA · direct prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“enterprise buyers often cite "unpredictable ballooning costs"... some procurement models recommend avoiding it if strict cost-prediction budgets are required” Qwen 3.7 Flash · SCA · negative prompt · soft negative
“Snyk is proprietary software. A mid-sized B2B company might prefer Trivy or Dependency-Check to avoid vendor lock-in and licensing costs” GLM 4.7 FlashX · SCA · paraphrase prompt · soft negative
“limited policy flexibility, poor data quality for complex remediations, high false positives in transitives, and costs spike” Grok 4.20 · SCA · negative prompt · soft negative
“Limited reachability analysis means Snyk flags many vulnerabilities that aren't actually exploitable” Claude Haiku 4.5 · SCA · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 172 of the 177 answers that named Snyk Open Source and are not a share of its labels.
697 of the 697 domain citations in answers naming Snyk Open Source came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Snyk Open Source's own pages state, read September 28, 2026: updates.snyk.io/snyk-open-source-ecosystem-coverage-update, updates.snyk.io/snyk-open-source-pipenv-git-support-272725, updates.snyk.io/snyk-open-source-python-scm-bug-fix-315943, updates.snyk.io/snyk-open-source-gradle-8-cli-support-284295, updates.snyk.io/snyk-open-source-snyk-cli-php-bug-fix-314922. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Snyk Open Source's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Snyk Open Source, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Snyk Open Source by email, built from the raw record of the edition. It shows:
Snyk Open Source is among the products AI models recommend first in Software composition analysis this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.