OpenLLM vs adk-python — Trust Score Comparison

Side-by-side trust comparison of OpenLLM and adk-python. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

OpenLLM scores 73.1/100 (B) while adk-python scores 73.0/100 (B) on the Nerq Trust Score. The two agents are essentially tied on overall trust. OpenLLM is a devops agent with 12,115 stars, Nerq Verified. adk-python is a devops agent with 18,204 stars, Nerq Verified.
73.1
B verified
Categorydevops
Stars12,115
Sourcegithub
Security0
Compliance100
Maintenance1
Documentation0
vs
73.0
B verified
Categorydevops
Stars18,204
Sourcegithub
Security1
Compliance87
Maintenance1
Documentation1

Detailed Metric Comparison

Metric OpenLLM adk-python
Trust Score73.1/10073.0/100
GradeBB
Stars12,11518,204
Categorydevopsdevops
Security01
Compliance10087
Maintenance11
Documentation01
EU AI Act RiskminimalN/A
VerifiedYesYes

Verdict

OpenLLM (73.1) and adk-python (73.0) 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

adk-python leads on security with a score of 1/100 compared to OpenLLM's 0/100. 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

OpenLLM demonstrates stronger maintenance activity (1/100 vs 1/100). 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

adk-python has better documentation (1/100 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

OpenLLM has 12,115 GitHub stars while adk-python has 18,204. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose OpenLLM if you need:

  • Higher overall trust score — more reliable for production use

Choose adk-python if you need:

  • Stronger security profile with fewer known vulnerabilities
  • Larger community (18,204 vs 12,115 stars)
  • Better documentation for faster onboarding

Switching from OpenLLM to adk-python (or vice versa)

When migrating between OpenLLM and adk-python, consider these factors:

  1. API Compatibility: OpenLLM (devops) and adk-python (devops) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the OpenLLM safety report and adk-python safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: OpenLLM has 12,115 stars and adk-python has 18,204. Larger communities typically mean better Stack Overflow answers and migration guides.
OpenLLM Safety Report adk-python Safety Report OpenLLM Alternatives adk-python Alternatives

Related Pages

Frequently Asked Questions

Which is safer, OpenLLM or adk-python?
Based on Nerq's independent trust assessment, OpenLLM has a trust score of 73.1/100 (B) while adk-python scores 73.0/100 (B). Both agents are very close in overall trust. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do OpenLLM and adk-python compare on security?
OpenLLM has a security score of 0/100 and adk-python scores 1/100. Both have comparable security profiles. OpenLLM's compliance score is 100/100 (EU risk: minimal), while adk-python's is 87/100 (EU risk: N/A).
Should I use OpenLLM or adk-python?
The choice depends on your requirements. OpenLLM (devops, 12,115 stars) and adk-python (devops, 18,204 stars) serve similar use cases. On trust, OpenLLM scores 73.1/100 and adk-python scores 73.0/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 1), and maintenance activity (1 vs 1).

Related Comparisons

Last updated: 2026-04-19 | 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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