DeepAnalyze vs Scrapegraph-ai — Trust Score Comparison
Side-by-side trust comparison of DeepAnalyze and Scrapegraph-ai. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | DeepAnalyze | Scrapegraph-ai |
|---|---|---|
| Trust Score | 69.7/100 | 69.0/100 |
| Grade | B- | B- |
| Stars | 3,852 | 22,729 |
| Category | data | data |
| Security | 0 | 0 |
| Compliance | 87 | 100 |
| Maintenance | 1 | 1 |
| Documentation | 0 | 0 |
| EU AI Act Risk | minimal | minimal |
| Verified | No | No |
Verdict
DeepAnalyze (69.7) and Scrapegraph-ai (69.0) 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
DeepAnalyze leads on security with a score of 0/100 compared to Scrapegraph-ai'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
DeepAnalyze 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
DeepAnalyze 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
DeepAnalyze has 3,852 GitHub stars while Scrapegraph-ai has 22,729. Scrapegraph-ai 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 DeepAnalyze if you need:
- Higher overall trust score — more reliable for production use
Choose Scrapegraph-ai if you need:
- Larger community (22,729 vs 3,852 stars)
Switching from DeepAnalyze to Scrapegraph-ai (or vice versa)
When migrating between DeepAnalyze and Scrapegraph-ai, consider these factors:
- API Compatibility: DeepAnalyze (data) and Scrapegraph-ai (data) share similar interfaces since they are in the same category.
- Security Review: Run a security audit after migration. Check the DeepAnalyze safety report and Scrapegraph-ai safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: DeepAnalyze has 3,852 stars and Scrapegraph-ai has 22,729. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
Related Comparisons
Last updated: 2026-05-20 | 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.