support vs log — Trust Score Comparison

Side-by-side trust comparison of support and log. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

support scores 48.2/100 (D) while log scores 57.5/100 (C) on the Nerq Trust Score. log leads by 9.3 points. support is a uncategorized agent with 1 stars. log is a uncategorized agent with 45 stars.
48.2
D
Categoryuncategorized
Stars1
Sourcepackagist
Security90
Maintenance50
Documentation40
vs
57.5
C
Categoryuncategorized
Stars45
Sourcepackagist
Security90
Maintenance50
Documentation30

Detailed Metric Comparison

Metric support log
Trust Score48.2/10057.5/100
GradeDC
Stars145
Categoryuncategorizeduncategorized
Security9090
ComplianceN/AN/A
Maintenance5050
Documentation4030
EU AI Act RiskN/AN/A
VerifiedNoNo

Verdict

log leads with a trust score of 57.5/100 compared to support's 48.2/100 (a 9.3-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

support leads on security with a score of 90/100 compared to log's 90/100. 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

support demonstrates stronger maintenance activity (50/100 vs 50/100). 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

support has better documentation (40/100 vs 30/100). 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

support has 1 GitHub stars while log has 45. log 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 support if you need:

  • Better documentation for faster onboarding

Choose log if you need:

  • Higher overall trust score — more reliable for production use
  • Larger community (45 vs 1 stars)

Switching from support to log (or vice versa)

When migrating between support and log, consider these factors:

  1. API Compatibility: support (uncategorized) and log (uncategorized) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the support safety report and log safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: support has 1 stars and log has 45. Larger communities typically mean better Stack Overflow answers and migration guides.
support Safety Report log Safety Report support Alternatives log Alternatives

Related Pages

Frequently Asked Questions

Which is safer, support or log?
Based on Nerq's independent trust assessment, support has a trust score of 48.2/100 (D) while log scores 57.5/100 (C). The 9.3-point difference suggests log has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do support and log compare on security?
support has a security score of 90/100 and log scores 90/100. Both have comparable security profiles. support's compliance score is N/A/100 (EU risk: N/A), while log's is N/A/100 (EU risk: N/A).
Should I use support or log?
The choice depends on your requirements. support (uncategorized, 1 stars) and log (uncategorized, 45 stars) serve similar use cases. On trust, support scores 48.2/100 and log scores 57.5/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (40 vs 30), and maintenance activity (50 vs 50).

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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