llm-spy vs raptor — Trust Score Comparison

Side-by-side trust comparison of llm-spy and raptor. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

llm-spy scores 59.0/100 (C) while raptor scores 81.1/100 (B) on the Nerq Trust Score. raptor leads by 22.1 points. llm-spy is a security agent with 1 stars. raptor is a security agent with 1,095 stars, Nerq Verified.
59.0
C
Categorysecurity
Stars1
Sourcegithub
Security0
Compliance97
Maintenance1
Documentation1
vs
81.1
B verified
Categorysecurity
Stars1,095
Sourcegithub
Security1
Compliance97
Maintenance1
Documentation1

Detailed Metric Comparison

Metric llm-spy raptor
Trust Score59.0/10081.1/100
GradeCB
Stars11,095
Categorysecuritysecurity
Security01
Compliance9797
Maintenance11
Documentation11
EU AI Act Riskminimalminimal
VerifiedNoYes

Verdict

raptor leads with a trust score of 81.1/100 compared to llm-spy's 59.0/100 (a 22.1-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 llm-spy'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

llm-spy 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

llm-spy 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

llm-spy 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 llm-spy 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 llm-spy to raptor (or vice versa)

When migrating between llm-spy and raptor, consider these factors:

  1. API Compatibility: llm-spy (security) and raptor (security) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the llm-spy safety report and raptor safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: llm-spy has 1 stars and raptor has 1,095. Larger communities typically mean better Stack Overflow answers and migration guides.
llm-spy Safety Report raptor Safety Report llm-spy Alternatives raptor Alternatives

Related Pages

Frequently Asked Questions

Which is safer, llm-spy or raptor?
Based on Nerq's independent trust assessment, llm-spy has a trust score of 59.0/100 (C) while raptor scores 81.1/100 (B). The 22.1-point difference suggests raptor has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do llm-spy and raptor compare on security?
llm-spy has a security score of 0/100 and raptor scores 1/100. Both have comparable security profiles. llm-spy's compliance score is 97/100 (EU risk: minimal), while raptor's is 97/100 (EU risk: minimal).
Should I use llm-spy or raptor?
The choice depends on your requirements. llm-spy (security, 1 stars) and raptor (security, 1,095 stars) serve similar use cases. On trust, llm-spy scores 59.0/100 and raptor scores 81.1/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs 1), and maintenance activity (1 vs 1).

Related Comparisons

Last updated: 2026-09-18 | 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.

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