atom-tools vs boolean.py — Trust Score Comparison

Name: atom-tools vs boolean.py Trust Comparison
Creator: Nerq

Side-by-side trust comparison of atom-tools and boolean.py. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

atom-tools scores 63.5/100 (C+) while boolean.py scores 72.5/100 (B) on the Nerq Trust Score. boolean.py leads by 9.0 points. atom-tools is a uncategorized agent with 0 stars. boolean.py is a uncategorized agent with 0 stars, Nerq Verified.

atom-tools

63.5

C+

Categoryuncategorized

Stars0

Sourcepypi

Security90

Maintenance84

Documentation40

boolean.py

72.5

B verified

Categoryuncategorized

Stars0

Sourcepypi

Security90

Maintenance73

Documentation65

Detailed Metric Comparison

Metric	atom-tools	boolean.py
Trust Score	63.5/100	72.5/100
Grade	C+	B
Stars	0	0
Category	uncategorized	uncategorized
Security	90	90
Compliance	N/A	N/A
Maintenance	84	73
Documentation	40	65
EU AI Act Risk	N/A	N/A
Verified	No	Yes

Verdict

boolean.py leads with a trust score of 72.5/100 compared to atom-tools's 63.5/100 (a 9.0-point difference). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

atom-tools leads on security with a score of 90/100 compared to boolean.py's 90/100. 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

atom-tools demonstrates stronger maintenance activity (84/100 vs 73/100). 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

boolean.py has better documentation (65/100 vs 40/100). 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

atom-tools has 0 GitHub stars while boolean.py has 0. Both tools have comparable community sizes, suggesting similar levels of ecosystem support and third-party resources.

When to Choose Each Tool

Choose atom-tools if you need:

More actively maintained with faster release cadence

Choose boolean.py if you need:

Higher overall trust score — more reliable for production use
Better documentation for faster onboarding

Switching from atom-tools to boolean.py (or vice versa)

When migrating between atom-tools and boolean.py, consider these factors:

API Compatibility: atom-tools (uncategorized) and boolean.py (uncategorized) share similar interfaces since they are in the same category.
Security Review: Run a security audit after migration. Check the atom-tools safety report and boolean.py safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: atom-tools has 0 stars and boolean.py has 0. Larger communities typically mean better Stack Overflow answers and migration guides.

atom-tools Safety Report boolean.py Safety Report atom-tools Alternatives boolean.py Alternatives

Frequently Asked Questions

Which is safer, atom-tools or boolean.py?

Based on Nerq's independent trust assessment, atom-tools has a trust score of 63.5/100 (C+) while boolean.py scores 72.5/100 (B). The 9.0-point difference suggests boolean.py has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do atom-tools and boolean.py compare on security?

atom-tools has a security score of 90/100 and boolean.py scores 90/100. Both have comparable security profiles. atom-tools's compliance score is N/A/100 (EU risk: N/A), while boolean.py's is N/A/100 (EU risk: N/A).

Should I use atom-tools or boolean.py?

The choice depends on your requirements. atom-tools (uncategorized, 0 stars) and boolean.py (uncategorized, 0 stars) serve similar use cases. On trust, atom-tools scores 63.5/100 and boolean.py scores 72.5/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (40 vs 65), and maintenance activity (84 vs 73).

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Last updated: 2026-10-03 | 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.