code-scanner-ai vs raptor — Trust Score Comparison
Side-by-side trust comparison of code-scanner-ai and raptor. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | code-scanner-ai | raptor |
|---|---|---|
| Trust Score | 71.9/100 | 81.1/100 |
| Grade | C | B |
| Stars | 1 | 1,095 |
| Category | security | security |
| Security | 0 | 1 |
| Compliance | 97 | 97 |
| Maintenance | 1 | 1 |
| Documentation | 1 | 1 |
| EU AI Act Risk | minimal | minimal |
| Verified | Yes | Yes |
Verdict
raptor leads with a trust score of 81.1/100 compared to code-scanner-ai's 71.9/100 (a 9.2-point difference). raptor scores higher on security (1 vs 0). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
raptor leads on security with a score of 1/100 compared to code-scanner-ai's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.
Maintenance & Activity
code-scanner-ai demonstrates stronger maintenance activity (1/100 vs 1/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.
Documentation
code-scanner-ai has better documentation (1/100 vs 1/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.
Community & Adoption
code-scanner-ai has 1 GitHub stars while raptor has 1,095. raptor has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.
When to Choose Each Tool
Choose code-scanner-ai if you need:
- Consider if it better fits your specific use case
Choose raptor if you need:
- Higher overall trust score — more reliable for production use
- Stronger security profile with fewer known vulnerabilities
- Larger community (1,095 vs 1 stars)
Switching from code-scanner-ai to raptor (or vice versa)
When migrating between code-scanner-ai and raptor, consider these factors:
- API Compatibility: code-scanner-ai (security) and raptor (security) share similar interfaces since they are in the same category.
- Security Review: Run a security audit after migration. Check the code-scanner-ai safety report and raptor safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: code-scanner-ai has 1 stars and raptor has 1,095. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
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Last updated: 2026-10-08 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.