Index › IT › Products › GitHub Dependabot · November 2026 Edition
Software composition analysis · Ranked

GitHub Dependabot

GitHub Dependabot is a software composition analysis tool that checks a project's dependencies and automates pull requests to fix issues it finds · github.com ↗

#4Best rank (mid-market)
14/14Models named it
6First choices
10Warnings
November 2026 Edition · all company sizes counted.
Ranked inSoftware composition analysis #4 mid-market
What AI models recommend

Read the same way at every company size.

The standing depends on who is buying. Every model is asked the same questions for each company size.

Why models recommend it

“Using GitHub and want zero setup effort | GitHub Dependabot | Free, native, automatically creates fix PRs.”Gemini 3.5 Flash · Budget-constrained question · first choice
“Best value for most budget-conscious companies: GitHub Dependabot—if your code is already on GitHub.”GPT-6 Luna · Budget-constrained question · first choice
“GitHub Dependabot or Snyk Open Source are the best starting points due to their free tiers”Mistral Small · Budget-constrained question · first choice
“enable GitHub Dependabot today + run OWASP Dependency-Check or Trivy locally in CI”Muse Glimmer 30B · Budget-constrained question · first choice

What gives them pause

“GitHub Dependabot as your entire SCA program: It can be useful for repositories on GitHub, but check the documented ecosystem and file-format coverage”GPT-6 Luna · Negative question · warning
“May be insufficient as a standalone program for complex SBOM, license, or multi-repository governance”Perplexity Sonar · Direct question · warning
“Dependabot is convenient if you're all-in on GitHub, but it's more of an updater than a deep scanner.”Grok 4.20 · Paraphrase question · warning
“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 GitHub Dependabot, over the 61 answers that named it, and how often each was the first choice instead.

What the models named instead of GitHub Dependabot →

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

At a glance

Stated on GitHub Dependabot's own site, not checked by Gane.

Certifications
SOC 2, GDPR
Customers named
SAP, Otto Group, SPH Media, Postmates
Visit github.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 GitHub Dependabot 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 51 of the 61 answers that named GitHub Dependabot and are not a share of its labels.

By model

How each model answered on GitHub Dependabot across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash11002
Perplexity Sonar02013
Grok 4.2000112
Mistral Small11002
DeepSeek V4 Flash01023
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K202002
GLM 4.7 FlashX01001
MiniMax M2.500213
GPT-6 Luna12014
Muse Glimmer 30B10001