Qilin vs lrtable — Trust Score Comparison

Name: Qilin vs lrtable Trust Comparison
Creator: Nerq

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

Qilin scores 0.0/100 (D) while lrtable scores 57.5/100 (C) on the Nerq Trust Score. lrtable leads by 57.5 points. Qilin is a AI assistant tool with 30 stars. lrtable is a uncategorized tool with 0 stars.

Qilin

0.0

CategoryAI assistant

Stars30

Sourcehuggingface_dataset_full

Compliance100

Maintenance0

Documentation0

lrtable

57.5

Categoryuncategorized

Stars0

Sourcecrates

Security90

Maintenance50

Documentation30

Detailed Metric Comparison

Metric	Qilin	lrtable
Trust Score	0.0/100	57.5/100
Grade	D	C
Stars	30	0
Category	AI assistant	uncategorized
Security	N/A	90
Compliance	100	N/A
Maintenance	0	50
Documentation	0	30
EU AI Act Risk	N/A	N/A
Verified	No	No

Verdict

lrtable leads with a trust score of 57.5/100 compared to Qilin's 0.0/100 (a 57.5-point difference). lrtable scores higher on maintenance (50 vs 0). However, Qilin has stronger community adoption (30 vs 0 stars). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. Qilin scores N/A and lrtable scores 90 on this dimension.

Maintenance & Activity

lrtable demonstrates stronger maintenance activity (50/100 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

lrtable has better documentation (30/100 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

Qilin has 30 GitHub stars while lrtable has 0. Qilin 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 Qilin if you need:

Larger community (30 vs 0 stars)

Choose lrtable if you need:

Higher overall trust score — more reliable for production use
Stronger security profile with fewer known vulnerabilities
More actively maintained with faster release cadence
Better documentation for faster onboarding

Switching from Qilin to lrtable (or vice versa)

When migrating between Qilin and lrtable, consider these factors:

API Compatibility: Qilin (AI assistant) and lrtable (uncategorized) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the Qilin safety report and lrtable safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: Qilin has 30 stars and lrtable has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

Qilin Safety Report lrtable Safety Report Qilin Alternatives lrtable Alternatives

Frequently Asked Questions

Which is safer, Qilin or lrtable?

Based on Nerq's independent trust assessment, Qilin has a trust score of 0.0/100 (D) while lrtable scores 57.5/100 (C). The 57.5-point difference suggests lrtable has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do Qilin and lrtable compare on security?

Qilin has a security score of N/A/100 and lrtable scores 90/100. There is a notable difference in their security assessments. Qilin's compliance score is 100/100 (EU risk: N/A), while lrtable's is N/A/100 (EU risk: N/A).

Should I use Qilin or lrtable?

The choice depends on your requirements. Qilin (AI assistant, 30 stars) and lrtable (uncategorized, 0 stars) serve different use cases. On trust, Qilin scores 0.0/100 and lrtable scores 57.5/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 30), and maintenance activity (0 vs 50).

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Last updated: 2026-10-16 | 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.