aya-101 vs Jan-v1-4B-GGUF — Trust Score Comparison

Name: aya-101 vs Jan-v1-4B-GGUF Trust Comparison
Creator: Nerq

Side-by-side trust comparison of aya-101 and Jan-v1-4B-GGUF. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

aya-101 scores 61.2/100 (C) while Jan-v1-4B-GGUF scores 59.7/100 (D) on the Nerq Trust Score. The two agents are essentially tied on overall trust. aya-101 is a AI assistant tool with 664 stars. Jan-v1-4B-GGUF is a communication tool with 138 stars.

aya-101

61.2

CategoryAI assistant

Stars664

Sourcehuggingface_search_ext

Compliance87

Maintenance0

Documentation0

Jan-v1-4B-GGUF

59.7

Categorycommunication

Stars138

Sourcehuggingface_author2

Compliance87

Maintenance0

Documentation0

Detailed Metric Comparison

Metric	aya-101	Jan-v1-4B-GGUF
Trust Score	61.2/100	59.7/100
Grade	C	D
Stars	664	138
Category	AI assistant	communication
Security	N/A	N/A
Compliance	87	87
Maintenance	0	0
Documentation	0	0
EU AI Act Risk	minimal	N/A
Verified	No	No

Verdict

aya-101 (61.2) and Jan-v1-4B-GGUF (59.7) 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

Maintenance & Activity

aya-101 demonstrates stronger maintenance activity (0/100 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

aya-101 has better documentation (0/100 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

aya-101 has 664 GitHub stars while Jan-v1-4B-GGUF has 138. aya-101 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 aya-101 if you need:

Higher overall trust score — more reliable for production use
Larger community (664 vs 138 stars)

Choose Jan-v1-4B-GGUF if you need:

Consider if it better fits your specific use case

Switching from aya-101 to Jan-v1-4B-GGUF (or vice versa)

When migrating between aya-101 and Jan-v1-4B-GGUF, consider these factors:

API Compatibility: aya-101 (AI assistant) and Jan-v1-4B-GGUF (communication) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the aya-101 safety report and Jan-v1-4B-GGUF safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: aya-101 has 664 stars and Jan-v1-4B-GGUF has 138. Larger communities typically mean better Stack Overflow answers and migration guides.

aya-101 Safety Report Jan-v1-4B-GGUF Safety Report aya-101 Alternatives Jan-v1-4B-GGUF Alternatives

Frequently Asked Questions

Which is safer, aya-101 or Jan-v1-4B-GGUF?

Based on Nerq's independent trust assessment, aya-101 has a trust score of 61.2/100 (C) while Jan-v1-4B-GGUF scores 59.7/100 (D). Both agents are very close in overall trust. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do aya-101 and Jan-v1-4B-GGUF compare on security?

aya-101 has a security score of N/A/100 and Jan-v1-4B-GGUF scores N/A/100. There is a notable difference in their security assessments. aya-101's compliance score is 87/100 (EU risk: minimal), while Jan-v1-4B-GGUF's is 87/100 (EU risk: N/A).

Should I use aya-101 or Jan-v1-4B-GGUF?

The choice depends on your requirements. aya-101 (AI assistant, 664 stars) and Jan-v1-4B-GGUF (communication, 138 stars) serve different use cases. On trust, aya-101 scores 61.2/100 and Jan-v1-4B-GGUF scores 59.7/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 0), and maintenance activity (0 vs 0).

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Last updated: 2026-06-20 | 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.