text-decoder vs types — Trust Score Comparison

Side-by-side trust comparison of text-decoder and types. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

text-decoder scores 67.5/100 (B-) while types scores 77.5/100 (B+) on the Nerq Trust Score. types leads by 10.0 points. text-decoder is a uncategorized agent with 0 stars. types is a uncategorized agent with 0 stars, Nerq Verified.
67.5
B-
Categoryuncategorized
Stars0
Sourcenpm
Security90
Maintenance50
Documentation65
vs
77.5
B+ verified
Categoryuncategorized
Stars0
Sourcenpm
Security90
Maintenance63
Documentation80

Detailed Metric Comparison

Metric text-decoder types
Trust Score67.5/10077.5/100
GradeB-B+
Stars00
Categoryuncategorizeduncategorized
Security9090
ComplianceN/AN/A
Maintenance5063
Documentation6580
EU AI Act RiskN/AN/A
VerifiedNoYes

Verdict

types leads with a trust score of 77.5/100 compared to text-decoder's 67.5/100 (a 10.0-point difference). types scores higher on maintenance (63 vs 50). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

text-decoder leads on security with a score of 90/100 compared to types'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

types demonstrates stronger maintenance activity (63/100 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

types has better documentation (80/100 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

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

When to Choose Each Tool

Choose text-decoder if you need:

  • Consider if it better fits your specific use case

Choose types if you need:

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

Switching from text-decoder to types (or vice versa)

When migrating between text-decoder and types, consider these factors:

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

Related Pages

Frequently Asked Questions

Which is safer, text-decoder or types?
Based on Nerq's independent trust assessment, text-decoder has a trust score of 67.5/100 (B-) while types scores 77.5/100 (B+). The 10.0-point difference suggests types has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do text-decoder and types compare on security?
text-decoder has a security score of 90/100 and types scores 90/100. Both have comparable security profiles. text-decoder's compliance score is N/A/100 (EU risk: N/A), while types's is N/A/100 (EU risk: N/A).
Should I use text-decoder or types?
The choice depends on your requirements. text-decoder (uncategorized, 0 stars) and types (uncategorized, 0 stars) serve similar use cases. On trust, text-decoder scores 67.5/100 and types scores 77.5/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (65 vs 80), and maintenance activity (50 vs 63).

Related Comparisons

Last updated: 2026-07-30 | 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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