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Software composition analysis · October 2026 Edition

OWASP Dependency-Check vs GitHub Dependabot

Zero of fourteen models named OWASP Dependency-Check first on the direct prompt; zero named GitHub Dependabot. OWASP Dependency-Check was named by fourteen of the fourteen models and GitHub Dependabot by nine and OWASP Dependency-Check carries 35 labels and GitHub Dependabot 17, so the shares are not directly comparable.

OWASP Dependency-Check

accepted challenger

Named in three categories this edition.

GitHub Dependabot

accepted challenger

Named in one category this edition.

First-choice share8%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate23%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#6A position in a field of 17; printed, not drawn.
Labels3517A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, OWASP Dependency-Check reading right to left. Rank and label count are printed, not drawn.Snyk Open Source was named alongside these two in twelve of the fourteen direct answers. Trivy vs OWASP Dependency-Check · Trivy vs GitHub Dependabot · Snyk Open Source vs OWASP Dependency-Check

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the software composition analysis page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
OWASP Dependency-CheckFirst choices, of fourteen modelsGitHub Dependabot
Direct00
Paraphrase101 against OWASP Dependency-Check
Comparative00
Budget-constrained343 against OWASP Dependency-Check
Scale-constrained00
Negative004 against OWASP Dependency-Check · 3 against GitHub Dependabot
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, OWASP Dependency-Check and GitHub Dependabot were named in the same answer thirty-three times, of the 99 answers naming OWASP Dependency-Check and the 53 naming GitHub Dependabot. In those answers GitHub Dependabot took the first choice four times and OWASP Dependency-Check three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where OWASP Dependency-Check and GitHub Dependabot stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
OWASP Dependency-Check GitHub Dependabot first choice named as an alternative argued againstblank: not namedEach cell is one answer, OWASP Dependency-Check on the left and GitHub Dependabot on the right.

The direct prompt

The plain question, one answer per model, grouped by where OWASP Dependency-Check and GitHub Dependabot stood in it.

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniSnyk Open Source alternatives: FOSSA, OWASP Dependency-Check, OWASP Dependency-Track
Kimi K2Mend.io, Snyk Open Source alternatives: GitHub Advanced Security, GitHub Dependabot, Sonatype Lifecycle, Trivy

Neither was named

12 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Mend.io alternatives: Black Duck, Endor Labs, FOSSA, Snyk Open Source, Sonatype Lifecycle
Gemini 3.5 FlashAikido Security alternatives: Endor Labs, Mend.io, Snyk Open Source
Perplexity SonarMend.io alternatives: Black Duck, Snyk Open Source, Sonatype Lifecycle
Grok 4.1 FastSnyk Open Source alternatives: Mend.io, Sonatype Lifecycle
Mistral SmallMend.io alternatives: GitHub Advanced Security, Insignary Clarity
DeepSeek V4 FlashSnyk Open Source alternatives: Mend.io, Sonatype Lifecycle
Llama 4 MaverickMend.io
Qwen 3.7 FlashMend.io alternatives: GitHub Advanced Security, Snyk Open Source
GLM 4.7 FlashXGitHub Advanced Security, Snyk Open Source alternatives: Black Duck, Endor Labs, FOSSA, Mend.io, Sonatype Lifecycle
MiniMax M2.5Snyk Open Source, Sonatype Lifecycle alternatives: Black Duck, FOSSA, GitHub Advanced Security
GPT-6 LunaSnyk Open Source alternatives: GitHub's built-in supply-chain tools, Mend.io, Sonatype Lifecycle
Muse Glimmer 30BMend.io alternatives: Snyk Open Source, Sonatype Lifecycle

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
OWASP Dependency-Check leads by ten points.
OWASP Dependency-Check15%#3 of 14
GitHub Dependabot5%#4 of 14
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
OWASP Dependency-Check8%#5 of 17
GitHub Dependabot8%#6 of 17
The full mid-market standing →
Enterprise
OWASP Dependency-Check leads by four points.
OWASP Dependency-Check4%#10 of 14
GitHub Dependabot0%#– of 14
The full enterprise standing →

What the models said about OWASP Dependency-Check

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“useful as a free scanner, but I'd avoid treating its results as definitive ... can produce both false positives and false negatives” GPT-6 Luna · negative prompt · soft negative
“It has a higher false-positive rate than Trivy or Grype (due to CPE-based matching), so it requires more triage time.” Kimi K2 · budget prompt · soft negative
“Basic scanning, can be noisy, and is often cited as lacking the depth and automation of commercial tools.” Perplexity Sonar · negative prompt · soft negative
“OWASP Dependency-Check is a free, open-source SCA tool that provides basic CVE scanning for teams with limited budgets.” Claude Haiku 4.5 · budget prompt · first choice
“the best starting point is usually OWASP Dependency-Check because it is free and open source” Perplexity Sonar · budget prompt · first choice
“the best default choice is usually OWASP Dependency-Check. It's free, open source” GPT-5.4 mini · budget prompt · first choice

What the models said about GitHub Dependabot

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Useful for alerts, but sources warn about false positives, limited transitive analysis, and limited remediation automation in this basic form.” Perplexity Sonar · negative prompt · soft negative
“a reasonable choice for GitHub-based dependency alerts and updates, but don't assume it gives complete coverage of your software supply chain” GPT-6 Luna · negative prompt · soft negative
“Free/native, but basic (no deep reachability/licenses), prone to stale alerts” Grok 4.1 Fast · negative prompt · soft negative
“GitHub Dependabot is the zero-excuse baseline: dependency alerts and automated update PRs free on every repo” Muse Glimmer 30B · budget prompt · first choice
“Best low-budget starting point: GitHub Dependabot if your code is already on GitHub.” GPT-6 Luna · budget prompt · first choice
“the best place to start is GitHub Dependabot (if you're on GitHub) or Trivy” GLM 4.7 FlashX · budget prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.