aiobotocore vs stable-hash — Trust Score Comparison

Name: aiobotocore vs stable-hash Trust Comparison
Creator: Nerq

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

aiobotocore scores 59.6/100 (C) while stable-hash scores 56.8/100 (D) on the Nerq Trust Score. aiobotocore leads by 2.8 points. aiobotocore is a AI tool tool with 1,383 stars. stable-hash is a uncategorized tool with 0 stars.

aiobotocore — Nerq Trust Score 75.8/100 (B+). httpx — Nerq Trust Score 80.8/100 (A-). httpx leads by 5.0 points.

aiobotocore

59.6

CategoryAI tool

Stars1,383

Sourcegithub

Security0

Compliance100

Maintenance0

Documentation0

stable-hash

56.8

Categoryuncategorized

Stars0

Sourcenpm_full

Compliance100

Detailed Score Analysis

Dimension	aiobotocore	httpx
Security	90/100	90/100
Maintenance	100/100	100/100
Popularity	100/100	100/100
Quality	40/100	65/100
Community	35/100	35/100

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

Detailed Metric Comparison

Metric	aiobotocore	stable-hash
Trust Score	59.6/100	56.8/100
Grade	C	D
Stars	1,383	0
Category	AI tool	uncategorized
Security	0	N/A
Compliance	100	100
Maintenance	0	N/A
Documentation	0	N/A
EU AI Act Risk	N/A	N/A
Verified	No	No

Verdict

aiobotocore leads with a trust score of 59.6/100 compared to stable-hash's 56.8/100 (a 2.8-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. aiobotocore scores 0 and stable-hash scores N/A on this dimension.

Maintenance & Activity

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

Documentation

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

Community & Adoption

aiobotocore has 1,383 GitHub stars while stable-hash has 0. aiobotocore 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 aiobotocore if you need:

Higher overall trust score — more reliable for production use
Larger community (1,383 vs 0 stars)

Choose stable-hash if you need:

Consider if it better fits your specific use case

Switching from aiobotocore to stable-hash (or vice versa)

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

API Compatibility: aiobotocore (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 aiobotocore 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: aiobotocore has 1,383 stars and stable-hash has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

aiobotocore Safety Report stable-hash Safety Report aiobotocore Alternatives stable-hash Alternatives

Frequently Asked Questions

Which is safer, aiobotocore or stable-hash?

Based on Nerq's independent trust assessment, aiobotocore has a trust score of 59.6/100 (C) while stable-hash scores 56.8/100 (D). The 2.8-point difference suggests aiobotocore has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do aiobotocore and stable-hash compare on security?

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

Should I use aiobotocore or stable-hash?

The choice depends on your requirements. aiobotocore (AI tool, 1,383 stars) and stable-hash (uncategorized, 0 stars) serve different use cases. On trust, aiobotocore scores 59.6/100 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: 2026-05-13 | 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.