camel-agents vs TEN_Turn_Detection — Trust Score Comparison

Side-by-side trust comparison of camel-agents and TEN_Turn_Detection. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

camel-agents scores 59.7/100 (D) while TEN_Turn_Detection scores 57.4/100 (D) on the Nerq Trust Score. camel-agents leads by 2.3 points. camel-agents is a agent framework agent with 134 stars. TEN_Turn_Detection is a agent framework agent with 64 stars.
59.7
D
Categoryagent framework
Stars134
Sourcehuggingface
Security0
Compliance100
Maintenance0
Documentation0
vs
57.4
D
Categoryagent framework
Stars64
Sourcehuggingface_w2
Compliance87
Maintenance0
Documentation0

Detailed Metric Comparison

Metric camel-agents TEN_Turn_Detection
Trust Score59.7/10057.4/100
GradeDD
Stars13464
Categoryagent frameworkagent framework
Security0N/A
Compliance10087
Maintenance00
Documentation00
EU AI Act RiskN/Aminimal
VerifiedNoNo

Verdict

camel-agents leads with a trust score of 59.7/100 compared to TEN_Turn_Detection's 57.4/100 (a 2.3-point difference). camel-agents scores higher on compliance (100 vs 87). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. camel-agents scores 0 and TEN_Turn_Detection scores N/A on this dimension.

Maintenance & Activity

camel-agents 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

camel-agents 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

camel-agents has 134 GitHub stars while TEN_Turn_Detection has 64. camel-agents 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 camel-agents if you need:

  • Higher overall trust score — more reliable for production use
  • Larger community (134 vs 64 stars)

Choose TEN_Turn_Detection if you need:

  • Consider if it better fits your specific use case

Switching from camel-agents to TEN_Turn_Detection (or vice versa)

When migrating between camel-agents and TEN_Turn_Detection, consider these factors:

  1. API Compatibility: camel-agents (agent framework) and TEN_Turn_Detection (agent framework) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the camel-agents safety report and TEN_Turn_Detection safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: camel-agents has 134 stars and TEN_Turn_Detection has 64. Larger communities typically mean better Stack Overflow answers and migration guides.
camel-agents Safety Report TEN_Turn_Detection Safety Report camel-agents Alternatives TEN_Turn_Detection Alternatives

Related Pages

Frequently Asked Questions

Which is safer, camel-agents or TEN_Turn_Detection?
Based on Nerq's independent trust assessment, camel-agents has a trust score of 59.7/100 (D) while TEN_Turn_Detection scores 57.4/100 (D). The 2.3-point difference suggests camel-agents has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do camel-agents and TEN_Turn_Detection compare on security?
camel-agents has a security score of 0/100 and TEN_Turn_Detection scores N/A/100. There is a notable difference in their security assessments. camel-agents's compliance score is 100/100 (EU risk: N/A), while TEN_Turn_Detection's is 87/100 (EU risk: minimal).
Should I use camel-agents or TEN_Turn_Detection?
The choice depends on your requirements. camel-agents (agent framework, 134 stars) and TEN_Turn_Detection (agent framework, 64 stars) serve similar use cases. On trust, camel-agents scores 59.7/100 and TEN_Turn_Detection scores 57.4/100. 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: 2026-05-26 | 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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