cachey vs create-sss — Trust Score Comparison

Side-by-side trust comparison of cachey and create-sss. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

cachey scores 63.8/100 (C+) while create-sss scores 56.0/100 (C) on the Nerq Trust Score. cachey leads by 7.8 points. cachey is a uncategorized agent with 0 stars. create-sss is a uncategorized agent with 0 stars.
63.8
C+
Categoryuncategorized
Stars0
Sourcepypi
Security90
Maintenance56
Documentation65
vs
56.0
C
Categoryuncategorized
Stars0
Sourcenpm
Security90
Maintenance58
Documentation65

Detailed Metric Comparison

Metric cachey create-sss
Trust Score63.8/10056.0/100
GradeC+C
Stars00
Categoryuncategorizeduncategorized
Security9090
ComplianceN/AN/A
Maintenance5658
Documentation6565
EU AI Act RiskN/AN/A
VerifiedNoNo

Verdict

cachey leads with a trust score of 63.8/100 compared to create-sss's 56.0/100 (a 7.8-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

cachey leads on security with a score of 90/100 compared to create-sss'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

create-sss demonstrates stronger maintenance activity (58/100 vs 56/100). 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

cachey has better documentation (65/100 vs 65/100). 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

cachey has 0 GitHub stars while create-sss has 0. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose cachey if you need:

  • Higher overall trust score — more reliable for production use

Choose create-sss if you need:

  • More actively maintained with faster release cadence

Switching from cachey to create-sss (or vice versa)

When migrating between cachey and create-sss, consider these factors:

  1. API Compatibility: cachey (uncategorized) and create-sss (uncategorized) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the cachey safety report and create-sss safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: cachey has 0 stars and create-sss has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
cachey Safety Report create-sss Safety Report cachey Alternatives create-sss Alternatives

Related Pages

Frequently Asked Questions

Which is safer, cachey or create-sss?
Based on Nerq's independent trust assessment, cachey has a trust score of 63.8/100 (C+) while create-sss scores 56.0/100 (C). The 7.8-point difference suggests cachey has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do cachey and create-sss compare on security?
cachey has a security score of 90/100 and create-sss scores 90/100. Both have comparable security profiles. cachey's compliance score is N/A/100 (EU risk: N/A), while create-sss's is N/A/100 (EU risk: N/A).
Should I use cachey or create-sss?
The choice depends on your requirements. cachey (uncategorized, 0 stars) and create-sss (uncategorized, 0 stars) serve similar use cases. On trust, cachey scores 63.8/100 and create-sss scores 56.0/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (65 vs 65), and maintenance activity (56 vs 58).

Related Comparisons

Last updated: 2026-09-29 | 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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