OpenMathReasoning vs agent-scan — Trust Score Comparison

Side-by-side trust comparison of OpenMathReasoning and agent-scan. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

OpenMathReasoning scores 0.0/100 (D) while agent-scan scores 0.0/100 (A) on the Nerq Trust Score. The two agents are essentially tied on overall trust. OpenMathReasoning is a research tool with 442 stars. agent-scan is a infrastructure tool with 1,981 stars.
0.0
D
Categoryresearch
Stars442
Sourcehuggingface_dataset_v2
Compliance67
Maintenance0
Documentation0
vs
0.0
A
Categoryinfrastructure
Stars1,981
Sourcegithub
Security0
Compliance97
Maintenance1
Documentation1

Detailed Metric Comparison

Metric OpenMathReasoning agent-scan
Trust Score0.0/1000.0/100
GradeDA
Stars4421,981
Categoryresearchinfrastructure
SecurityN/A0
Compliance6797
Maintenance01
Documentation01
EU AI Act RiskminimalN/A
VerifiedNoNo

Verdict

OpenMathReasoning (0.0) and agent-scan (0.0) have nearly identical trust scores. Both are solid choices. The decision should come down to your specific use case, team preferences, and integration requirements rather than trust differences.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. OpenMathReasoning scores N/A and agent-scan scores 0 on this dimension.

Maintenance & Activity

agent-scan demonstrates stronger maintenance activity (1/100 vs 0/100). 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

agent-scan has better documentation (1/100 vs 0/100). 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

OpenMathReasoning has 442 GitHub stars while agent-scan has 1,981. agent-scan 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 OpenMathReasoning if you need:

  • Consider if it better fits your specific use case

Choose agent-scan if you need:

  • More actively maintained with faster release cadence
  • Larger community (1,981 vs 442 stars)
  • Better documentation for faster onboarding

Switching from OpenMathReasoning to agent-scan (or vice versa)

When migrating between OpenMathReasoning and agent-scan, consider these factors:

  1. API Compatibility: OpenMathReasoning (research) and agent-scan (infrastructure) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the OpenMathReasoning safety report and agent-scan safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: OpenMathReasoning has 442 stars and agent-scan has 1,981. Larger communities typically mean better Stack Overflow answers and migration guides.
OpenMathReasoning Safety Report agent-scan Safety Report OpenMathReasoning Alternatives agent-scan Alternatives

Related Pages

Frequently Asked Questions

Which is safer, OpenMathReasoning or agent-scan?
Based on Nerq's independent trust assessment, OpenMathReasoning has a trust score of 0.0/100 (D) while agent-scan scores 0.0/100 (A). Both agents are very close in overall trust. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do OpenMathReasoning and agent-scan compare on security?
OpenMathReasoning has a security score of N/A/100 and agent-scan scores 0/100. There is a notable difference in their security assessments. OpenMathReasoning's compliance score is 67/100 (EU risk: minimal), while agent-scan's is 97/100 (EU risk: N/A).
Should I use OpenMathReasoning or agent-scan?
The choice depends on your requirements. OpenMathReasoning (research, 442 stars) and agent-scan (infrastructure, 1,981 stars) serve different use cases. On trust, OpenMathReasoning scores 0.0/100 and agent-scan scores 0.0/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 1), and maintenance activity (0 vs 1).

Related Comparisons

Last updated: 2026-09-23 | 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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