Index › IT › Products › GitLab Dependency Scanning · November 2026 Edition
Software composition analysis · Ranked

GitLab Dependency Scanning

GitLab Dependency Scanning is a software composition analysis feature from GitLab · gitlab.com ↗

#17Best rank (mid-market)
10/14Models named it
0First choices
6Warnings
November 2026 Edition · all company sizes counted.
Ranked inSoftware composition analysis #17 mid-market

Why models recommend it

“Choose Snyk / GitLab / Mend.io if developer velocity, PR-time feedback and automated remediation are primary.”Muse Glimmer 30B · Comparative question · alternative
“choose GitHub or GitLab's native option if you want integrated dependency alerts and fixes with minimal setup”GPT-6 Luna · Comparative question · alternative
“If your company uses GitLab, this feature is included and runs within GitLab CI pipelines”Mistral Small · Budget-constrained question · alternative
“Platform Native: *GitHub Advanced Security (GHAS) or GitLab Ultimate*”Gemini 3.5 Flash · Scale-constrained question · alternative

What gives them pause

“Less sophisticated than dedicated SCA tools; limited license compliance and policy features”DeepSeek V4 Flash · Comparative question · warning

Also on the shortlist

The products named in the same answers as GitLab Dependency Scanning, over the 24 answers that named it, and how often each was the first choice instead.

What the models named instead of GitLab Dependency Scanning →

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on GitLab Dependency Scanning's own site, not checked by Gane.

Visit gitlab.com ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named GitLab Dependency Scanning came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 20 of the 24 answers that named GitLab Dependency Scanning and are not a share of its labels.

By model

How each model answered on GitLab Dependency Scanning across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash02002
Perplexity Sonar01001
Grok 4.2000101
Mistral Small02002
DeepSeek V4 Flash00011
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500202
GPT-6 Luna01001
Muse Glimmer 30B01001