bandit-agents vs stable-hash — Trust Score Comparison

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

bandit-agents scores 54.0/100 (D) while stable-hash scores 56.8/100 (D) on the Nerq Trust Score. stable-hash leads by 2.8 points. bandit-agents is a uncategorized agent with 0 stars. stable-hash is a uncategorized agent with 0 stars.

bandit — Nerq Trust Score 79.2/100 (B+). httpx — Nerq Trust Score 80.8/100 (A-). httpx leads by 1.6 points.

54.0
D
Categoryuncategorized
Stars0
Sourcepypi_full
Compliance92
vs
56.8
D
Categoryuncategorized
Stars0
Sourcenpm_full
Compliance100

Detailed Score Analysis

Dimensionbandithttpx
Security90/10090/100
Maintenance100/100100/100
Popularity90/100100/100
Quality65/10065/100
Community35/10035/100

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

Detailed Metric Comparison

Metric bandit-agents stable-hash
Trust Score54.0/10056.8/100
GradeDD
Stars00
Categoryuncategorizeduncategorized
SecurityN/AN/A
Compliance92100
MaintenanceN/AN/A
DocumentationN/AN/A
EU AI Act RiskN/AN/A
VerifiedNoNo

Verdict

stable-hash leads with a trust score of 56.8/100 compared to bandit-agents's 54.0/100 (a 2.8-point difference). stable-hash scores higher on compliance (100 vs 92). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Community & Adoption

bandit-agents has 0 GitHub stars while stable-hash has 0. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose bandit-agents if you need:

  • Consider if it better fits your specific use case

Choose stable-hash if you need:

  • Higher overall trust score — more reliable for production use

Switching from bandit-agents to stable-hash (or vice versa)

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

  1. API Compatibility: bandit-agents (uncategorized) and stable-hash (uncategorized) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the bandit-agents 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: bandit-agents has 0 stars and stable-hash has 0. Larger communities typically mean better Stack Overflow answers and migration guides.
bandit-agents Safety Report stable-hash Safety Report bandit-agents Alternatives stable-hash Alternatives

Related Pages

Frequently Asked Questions

Which is safer, bandit-agents or stable-hash?
Based on Nerq's independent trust assessment, bandit-agents has a trust score of 54.0/100 (D) while stable-hash scores 56.8/100 (D). The 2.8-point difference suggests stable-hash has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do bandit-agents and stable-hash compare on security?
bandit-agents has a security score of N/A/100 and stable-hash scores N/A/100. There is a notable difference in their security assessments. bandit-agents's compliance score is 92/100 (EU risk: N/A), while stable-hash's is 100/100 (EU risk: N/A).
Should I use bandit-agents or stable-hash?
The choice depends on your requirements. bandit-agents (uncategorized, 0 stars) and stable-hash (uncategorized, 0 stars) serve similar use cases. On trust, bandit-agents scores 54.0/100 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 (N/A vs N/A), and maintenance activity (N/A vs N/A).

Related Comparisons

Last updated: 2026-05-31 | 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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