safe-web vs ssr-darkreader — Trust Score Comparison

Name: safe-web vs ssr-darkreader Trust Comparison
Creator: Nerq

Side-by-side trust comparison of safe-web and ssr-darkreader. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

safe-web scores 60.7/100 (C) while ssr-darkreader scores 59.0/100 (D) on the Nerq Trust Score. The two agents are essentially tied on overall trust. safe-web is a security tool with 0 stars. ssr-darkreader is a uncategorized tool with 0 stars.

safe-web

60.7

Categorysecurity

Stars0

Sourcegithub

Security0

Compliance97

Maintenance1

Documentation1

ssr-darkreader

59.0

Categoryuncategorized

Stars0

Sourcenpm_full

Compliance100

Detailed Metric Comparison

Metric	safe-web	ssr-darkreader
Trust Score	60.7/100	59.0/100
Grade	C	D
Stars	0	0
Category	security	uncategorized
Security	0	N/A
Compliance	97	100
Maintenance	1	N/A
Documentation	1	N/A
EU AI Act Risk	minimal	N/A
Verified	No	No

Verdict

safe-web (60.7) and ssr-darkreader (59.0) 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. safe-web scores 0 and ssr-darkreader scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. safe-web: 1, ssr-darkreader: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. safe-web: 1, ssr-darkreader: N/A.

Community & Adoption

safe-web has 0 GitHub stars while ssr-darkreader has 0. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose safe-web if you need:

Higher overall trust score — more reliable for production use
More actively maintained with faster release cadence
Better documentation for faster onboarding

Choose ssr-darkreader if you need:

Consider if it better fits your specific use case

Switching from safe-web to ssr-darkreader (or vice versa)

When migrating between safe-web and ssr-darkreader, consider these factors:

API Compatibility: safe-web (security) and ssr-darkreader (uncategorized) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the safe-web safety report and ssr-darkreader safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: safe-web has 0 stars and ssr-darkreader has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

safe-web Safety Report ssr-darkreader Safety Report safe-web Alternatives ssr-darkreader Alternatives

Frequently Asked Questions

Which is safer, safe-web or ssr-darkreader?

Based on Nerq's independent trust assessment, safe-web has a trust score of 60.7/100 (C) while ssr-darkreader scores 59.0/100 (D). Both agents are very close in overall trust. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do safe-web and ssr-darkreader compare on security?

safe-web has a security score of 0/100 and ssr-darkreader scores N/A/100. There is a notable difference in their security assessments. safe-web's compliance score is 97/100 (EU risk: minimal), while ssr-darkreader's is 100/100 (EU risk: N/A).

Should I use safe-web or ssr-darkreader?

The choice depends on your requirements. safe-web (security, 0 stars) and ssr-darkreader (uncategorized, 0 stars) serve different use cases. On trust, safe-web scores 60.7/100 and ssr-darkreader scores 59.0/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (1 vs N/A), and maintenance activity (1 vs N/A).

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Last updated: 2026-04-06 | 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.