Agentics vs adk-python — Trust Score Comparison
Side-by-side trust comparison of Agentics and adk-python. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | Agentics | adk-python |
|---|---|---|
| Trust Score | 0.0/100 | 0.0/100 |
| Grade | A | B |
| Stars | 59 | 18,204 |
| Category | coding | devops |
| Security | 0 | 1 |
| Compliance | 100 | 87 |
| Maintenance | 1 | 1 |
| Documentation | 1 | 1 |
| EU AI Act Risk | N/A | N/A |
| Verified | No | No |
Verdict
Agentics (0.0) and adk-python (0.0) 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 Agentics'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
Agentics 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
Agentics has better documentation (1/100 vs 1/100). 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
Agentics has 59 GitHub stars while adk-python has 18,204. adk-python 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 Agentics if you need:
- Consider if it better fits your specific use case
Choose adk-python if you need:
- Stronger security profile with fewer known vulnerabilities
- Larger community (18,204 vs 59 stars)
Switching from Agentics to adk-python (or vice versa)
When migrating between Agentics and adk-python, consider these factors:
- API Compatibility: Agentics (coding) and adk-python (devops) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the Agentics safety report and adk-python safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: Agentics has 59 stars and adk-python has 18,204. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
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Last updated: 2026-08-02 | 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.