ai-data-science-team vs graphiti — Trust Score Comparison
Side-by-side trust comparison of ai-data-science-team and graphiti. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | ai-data-science-team | graphiti |
|---|---|---|
| Trust Score | 71.0/100 | 64.8/100 |
| Grade | B | C+ |
| Stars | 4,806 | 22,984 |
| Category | data | infrastructure |
| Security | 0 | 0 |
| Compliance | 92 | 100 |
| Maintenance | 1 | 1 |
| Documentation | 0 | 1 |
| EU AI Act Risk | minimal | N/A |
| Verified | Yes | No |
Verdict
ai-data-science-team leads with a trust score of 71.0/100 compared to graphiti's 64.8/100 (a 6.2-point difference). However, graphiti has stronger community adoption (22,984 vs 4,806 stars). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
ai-data-science-team leads on security with a score of 0/100 compared to graphiti'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
ai-data-science-team 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
graphiti 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
ai-data-science-team has 4,806 GitHub stars while graphiti has 22,984. graphiti 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 ai-data-science-team if you need:
- Higher overall trust score — more reliable for production use
Choose graphiti if you need:
- Larger community (22,984 vs 4,806 stars)
- Better documentation for faster onboarding
Switching from ai-data-science-team to graphiti (or vice versa)
When migrating between ai-data-science-team and graphiti, consider these factors:
- API Compatibility: ai-data-science-team (data) and graphiti (infrastructure) serve different categories, so migration may require significant refactoring.
- Security Review: Run a security audit after migration. Check the ai-data-science-team safety report and graphiti safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: ai-data-science-team has 4,806 stars and graphiti has 22,984. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
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Last updated: 2026-05-21 | 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.