# GitHub Dependabot alternatives: what AI models name instead, October 2026

IT AI Recommendation Index, October 2026 Edition. 218 of the 252 answers in the 1 category where GitHub Dependabot holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://it-ai-index.com/vendors/github-dependabot/alternatives/

## Named instead, most often (every category and segment added)

- Snyk Open Source: 45
- Trivy: 27
- Sonatype Lifecycle: 23
- Black Duck: 15
- Mend.io: 15
- OWASP Dependency-Check: 11

## Software composition analysis

**Small business**: 62 of 84 answers did not name GitHub Dependabot (GitHub Dependabot is #4 of 14 at 5%).

- Snyk Open Source: first choice in 28 of those 62
- Trivy: first choice in 9 of those 62
- OWASP Dependency-Check: first choice in 8 of those 62
- Aikido Security: first choice in 4 of those 62
- FOSSA: first choice in 3 of those 62
- Dependancy Checker: first choice in 1 of those 62
- GitHub Advanced Security: first choice in 1 of those 62
- Grype: first choice in 1 of those 62

**Mid-market**: 74 of 84 answers did not name GitHub Dependabot (GitHub Dependabot is #6 of 17 at 8%).

- Trivy: first choice in 14 of those 74
- Snyk Open Source: first choice in 13 of those 74
- Mend.io: first choice in 6 of those 74
- OWASP Dependency-Check: first choice in 3 of those 74
- OWASP Dependency-Track: first choice in 3 of those 74
- Sonatype Lifecycle: first choice in 3 of those 74
- Endor Labs: first choice in 2 of those 74
- Aikido Security: first choice in 1 of those 74

**Enterprise**: 82 of 84 answers did not name GitHub Dependabot.

- Sonatype Lifecycle: first choice in 20 of those 82
- Black Duck: first choice in 15 of those 82
- Mend.io: first choice in 9 of those 82
- Snyk Open Source: first choice in 4 of those 82
- Trivy: first choice in 4 of those 82
- Endor Labs: first choice in 3 of those 82
- Aikido Security: first choice in 2 of those 82
- GitHub Advanced Security: first choice in 2 of those 82

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.