TensorFlow-Book vs stable-hash — Trust Score Comparison

Name: TensorFlow-Book vs stable-hash Trust Comparison
Creator: Nerq

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

TensorFlow-Book scores 72.2/100 (B) while stable-hash scores 56.8/100 (D) on the Nerq Trust Score. TensorFlow-Book leads by 15.4 points. TensorFlow-Book is a AI tool tool with 4,444 stars, Nerq Verified. stable-hash is a uncategorized tool with 0 stars.

TensorFlow-Book

72.2

B verified

CategoryAI tool

Stars4,444

Sourcegithub

Security0

Compliance92

Maintenance0

Documentation0

stable-hash

56.8

Categoryuncategorized

Stars0

Sourcenpm_full

Compliance100

Detailed Metric Comparison

Metric	TensorFlow-Book	stable-hash
Trust Score	72.2/100	56.8/100
Grade	B	D
Stars	4,444	0
Category	AI tool	uncategorized
Security	0	N/A
Compliance	92	100
Maintenance	0	N/A
Documentation	0	N/A
EU AI Act Risk	N/A	N/A
Verified	Yes	No

Verdict

TensorFlow-Book leads with a trust score of 72.2/100 compared to stable-hash's 56.8/100 (a 15.4-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. TensorFlow-Book scores 0 and stable-hash scores N/A on this dimension.

Maintenance & Activity

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

Documentation

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

Community & Adoption

TensorFlow-Book has 4,444 GitHub stars while stable-hash has 0. TensorFlow-Book 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 TensorFlow-Book if you need:

Higher overall trust score — more reliable for production use
Larger community (4,444 vs 0 stars)

Choose stable-hash if you need:

Consider if it better fits your specific use case

Switching from TensorFlow-Book to stable-hash (or vice versa)

When migrating between TensorFlow-Book and stable-hash, consider these factors:

API Compatibility: TensorFlow-Book (AI tool) and stable-hash (uncategorized) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the TensorFlow-Book safety report and stable-hash safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: TensorFlow-Book has 4,444 stars and stable-hash has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

TensorFlow-Book Safety Report stable-hash Safety Report TensorFlow-Book Alternatives stable-hash Alternatives

Frequently Asked Questions

Which is safer, TensorFlow-Book or stable-hash?

Based on Nerq's independent trust assessment, TensorFlow-Book has a trust score of 72.2/100 (B) while stable-hash scores 56.8/100 (D). The 15.4-point difference suggests TensorFlow-Book has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do TensorFlow-Book and stable-hash compare on security?

TensorFlow-Book has a security score of 0/100 and stable-hash scores N/A/100. There is a notable difference in their security assessments. TensorFlow-Book's compliance score is 92/100 (EU risk: N/A), while stable-hash's is 100/100 (EU risk: N/A).

Should I use TensorFlow-Book or stable-hash?

The choice depends on your requirements. TensorFlow-Book (AI tool, 4,444 stars) and stable-hash (uncategorized, 0 stars) serve different use cases. On trust, TensorFlow-Book scores 72.2/100 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).

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Last updated: 2026-06-17 | 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.