scikit-image vs stable-hash — Trust Score Comparison

Side-by-side trust comparison of scikit-image and stable-hash. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

scikit-image scores 67.5/100 (B-) while stable-hash scores 56.8/100 (D) on the Nerq Trust Score. scikit-image leads by 10.7 points. scikit-image is a other tool with 6,459 stars. stable-hash is a uncategorized tool with 0 stars.

scikit-image — Nerq Trust Score 77.2/100 (B+). httpx — Nerq Trust Score 80.8/100 (A-). httpx leads by 3.6 points.

67.5
B-
Categoryother
Stars6,459
Sourcegithub
Security0
Compliance100
Maintenance0
Documentation0
vs
56.8
D
Categoryuncategorized
Stars0
Sourcenpm_full
Compliance100

Detailed Score Analysis

Dimensionscikit-imagehttpx
Security90/10090/100
Maintenance100/100100/100
Popularity90/100100/100
Quality55/10065/100
Community35/10035/100

Five-dimension Nerq trust breakdown (registries: pypi / pypi). Scored equally weighted across security, maintenance, popularity, quality, community.

Detailed Metric Comparison

Metric scikit-image stable-hash
Trust Score67.5/10056.8/100
GradeB-D
Stars6,4590
Categoryotheruncategorized
Security0N/A
Compliance100100
Maintenance0N/A
Documentation0N/A
EU AI Act RiskN/AN/A
VerifiedNoNo

Verdict

scikit-image leads with a trust score of 67.5/100 compared to stable-hash's 56.8/100 (a 10.7-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. scikit-image scores 0 and stable-hash scores N/A on this dimension.

Maintenance & Activity

Activity scores reflect how actively each project is maintained. scikit-image: 0, stable-hash: N/A.

Documentation

Documentation quality is evaluated based on README, API docs, and example coverage. scikit-image: 0, stable-hash: N/A.

Community & Adoption

scikit-image has 6,459 GitHub stars while stable-hash has 0. scikit-image 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 scikit-image if you need:

  • Higher overall trust score — more reliable for production use
  • Larger community (6,459 vs 0 stars)

Choose stable-hash if you need:

  • Consider if it better fits your specific use case

Switching from scikit-image to stable-hash (or vice versa)

When migrating between scikit-image and stable-hash, consider these factors:

  1. API Compatibility: scikit-image (other) and stable-hash (uncategorized) serve different categories, so migration may require significant refactoring.
  2. Security Review: Run a security audit after migration. Check the scikit-image safety report and stable-hash safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: scikit-image has 6,459 stars and stable-hash has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
scikit-image Safety Report stable-hash Safety Report scikit-image Alternatives stable-hash Alternatives

Related Pages

Frequently Asked Questions

Which is safer, scikit-image or stable-hash?
Based on Nerq's independent trust assessment, scikit-image has a trust score of 67.5/100 (B-) while stable-hash scores 56.8/100 (D). The 10.7-point difference suggests scikit-image has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do scikit-image and stable-hash compare on security?
scikit-image has a security score of 0/100 and stable-hash scores N/A/100. There is a notable difference in their security assessments. scikit-image's compliance score is 100/100 (EU risk: N/A), while stable-hash's is 100/100 (EU risk: N/A).
Should I use scikit-image or stable-hash?
The choice depends on your requirements. scikit-image (other, 6,459 stars) and stable-hash (uncategorized, 0 stars) serve different use cases. On trust, scikit-image scores 67.5/100 and stable-hash scores 56.8/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs N/A), and maintenance activity (0 vs N/A).

Related Comparisons

Last updated: 2026-05-09 | 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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