aioitertools vs pyyaml-rs — Trust Score Comparison

Side-by-side trust comparison of aioitertools and pyyaml-rs. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

aioitertools scores 45.9/100 (D+) while pyyaml-rs scores 53.0/100 (D) on the Nerq Trust Score. pyyaml-rs leads by 7.1 points. aioitertools is a uncategorized agent with 0 stars. pyyaml-rs is a uncategorized agent with 0 stars.

aioitertools — Nerq Trust Score 68.2/100 (B-). pyyaml — Nerq Trust Score 78.2/100 (B+). pyyaml leads by 10.0 points.

45.9
D+
Categoryuncategorized
Stars0
Sourcepypi_full
Compliance100
vs
53.0
D
Categoryuncategorized
Stars0
Sourcepypi_full
Compliance100

Detailed Score Analysis

Dimensionaioitertoolspyyaml
Security90/10090/100
Maintenance70/10090/100
Popularity100/100100/100
Quality40/10065/100
Community35/10035/100

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

Detailed Metric Comparison

Metric aioitertools pyyaml-rs
Trust Score45.9/10053.0/100
GradeD+D
Stars00
Categoryuncategorizeduncategorized
SecurityN/AN/A
Compliance100100
MaintenanceN/AN/A
DocumentationN/AN/A
EU AI Act RiskN/AN/A
VerifiedNoNo

Verdict

pyyaml-rs leads with a trust score of 53.0/100 compared to aioitertools's 45.9/100 (a 7.1-point difference). Both agents should be evaluated based on your specific requirements.

Based on our analysis, aioitertools scores higher in Security (90/100) while pyyaml-rs is stronger in Quality (65/100).

Detailed Score Analysis

Five-dimensional trust breakdown for aioitertools (pypi) and pyyaml-rs (pypi) from Nerq’s enrichment pipeline. All 5 dimensions scored on 0–100 scales, refreshed every 7 days, covering 5M+ indexed assets across 14 registries.

Dimensionaioitertoolspyyaml-rs
Security90/10090/100
Maintenance70/10090/100
Popularity100/100100/100
Quality40/10065/100
Community35/10035/100

5-Dimension Breakdown

Security — aioitertools vs pyyaml-rs

Security aggregates dependency vulnerability scans, known CVE exposure, supply-chain hygiene, and adherence to security best practices. On this dimension aioitertools scores 90/100 (top-tier) while pyyaml-rs scores 90/100 (top-tier). The two are effectively tied on security (both at 90/100). The aioitertools figure is derived from its pypi registry footprint; the pyyaml-rs figure from pypi. For a pypi/pypi cross-registry pair, a security score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score above 85 implies a clean dependency tree with 0 critical CVEs in the last 90 days; 70–84 tolerates 1–2 medium-severity issues; below 55 usually flags 3+ unresolved advisories. Given the current 90/100 for aioitertools and 90/100 for pyyaml-rs, the combined midpoint is 90.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Maintenance — aioitertools vs pyyaml-rs

Maintenance captures commit cadence, issue turnaround, release frequency, and the health of the project’s active contributor base. On this dimension aioitertools scores 70/100 (strong) while pyyaml-rs scores 90/100 (top-tier). pyyaml-rs leads by 20 points (90/100 vs 70/100), a spread wide enough that teams should weight maintenance heavily when choosing. The aioitertools figure is derived from its pypi registry footprint; the pyyaml-rs figure from pypi. For a pypi/pypi cross-registry pair, a maintenance score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. Scores above 80 correspond to release cadences of 30 days or less and median issue-response times under 7 days; below 50 often means no release in 180+ days. Given the current 70/100 for aioitertools and 90/100 for pyyaml-rs, the combined midpoint is 80.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Popularity — aioitertools vs pyyaml-rs

Popularity measures adoption signals—weekly downloads, dependent packages, GitHub stars, and cross-registry citation density. On this dimension aioitertools scores 100/100 (top-tier) while pyyaml-rs scores 100/100 (top-tier). The two are effectively tied on popularity (both at 100/100). The aioitertools figure is derived from its pypi registry footprint; the pyyaml-rs figure from pypi. For a pypi/pypi cross-registry pair, a popularity score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score of 90+ indicates the top 1% of the registry by dependent count or weekly downloads; 70–89 is the top 10%; below 40 suggests fewer than 500 weekly downloads. Given the current 100/100 for aioitertools and 100/100 for pyyaml-rs, the combined midpoint is 100.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Quality — aioitertools vs pyyaml-rs

Quality evaluates documentation completeness, test coverage indicators, typed-API availability, and the presence of examples or tutorials. On this dimension aioitertools scores 40/100 (below-average) while pyyaml-rs scores 65/100 (mid-band). pyyaml-rs leads by 25 points (65/100 vs 40/100), a spread wide enough that teams should weight quality heavily when choosing. The aioitertools figure is derived from its pypi registry footprint; the pyyaml-rs figure from pypi. For a pypi/pypi cross-registry pair, a quality score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score of 80+ implies README + API docs + 5+ code examples; 55–79 is documentation present but uneven; below 40 typically means README only, with 0 typed APIs. Given the current 40/100 for aioitertools and 65/100 for pyyaml-rs, the combined midpoint is 52.5/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Community — aioitertools vs pyyaml-rs

Community looks at contributor breadth, issue-response participation, Stack Overflow answer volume, and third-party tutorial ecosystem. On this dimension aioitertools scores 35/100 (weak) while pyyaml-rs scores 35/100 (weak). The two are effectively tied on community (both at 35/100). The aioitertools figure is derived from its pypi registry footprint; the pyyaml-rs figure from pypi. For a pypi/pypi cross-registry pair, a community score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. Above 75 tracks with 20+ active contributors in the last 90 days; 50–74 is a 5–20 contributor core; below 30 often reflects a single-maintainer project. Given the current 35/100 for aioitertools and 35/100 for pyyaml-rs, the combined midpoint is 35.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Score-Card Summary

Across the 5 measured dimensions, aioitertools averages 67.0/100 (range 35–100) and pyyaml-rs averages 76.0/100 (range 35–100). aioitertools leads on 0 dimensions, pyyaml-rs leads on 2, with 3 tied.

BandRangeaioitertools dimspyyaml-rs dims
Top-tier85–10023
Strong70–8510
Mid-band55–7001
Below-avg40–5510
Weak0–4011

Scoring scale: 0–39 weak, 40–54 below-average, 55–69 mid-band, 70–84 strong, 85–100 top-tier. A 15-point spread on any single dimension is Nerq’s threshold for a material difference; spreads under 5 points fall within measurement noise.

Head-to-Head Deltas

Dimensionaioitertoolspyyaml-rsDeltaLeader
Security9090+0tied
Maintenance7090-20pyyaml-rs
Popularity100100+0tied
Quality4065-25pyyaml-rs
Community3535+0tied

Combined 5-dimension average: aioitertools 67.0/100, pyyaml-rs 76.0/100, overall spread -9.0 points.

Detailed Analysis

Community & Adoption

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

When to Choose Each Tool

Choose aioitertools if you need:

  • Consider if it better fits your specific use case

Choose pyyaml-rs if you need:

  • Higher overall trust score — more reliable for production use

Switching from aioitertools to pyyaml-rs (or vice versa)

When migrating between aioitertools and pyyaml-rs, consider these factors:

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

Related Pages

Frequently Asked Questions

Which is safer, aioitertools or pyyaml-rs?
Based on Nerq's independent trust assessment, aioitertools has a trust score of 45.9/100 (D+) while pyyaml-rs scores 53.0/100 (D). The 7.1-point difference suggests pyyaml-rs has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do aioitertools and pyyaml-rs compare on security?
aioitertools has a security score of N/A/100 and pyyaml-rs scores N/A/100. There is a notable difference in their security assessments. aioitertools's compliance score is 100/100 (EU risk: N/A), while pyyaml-rs's is 100/100 (EU risk: N/A).
Should I use aioitertools or pyyaml-rs?
The choice depends on your requirements. aioitertools (uncategorized, 0 stars) and pyyaml-rs (uncategorized, 0 stars) serve similar use cases. On trust, aioitertools scores 45.9/100 and pyyaml-rs scores 53.0/100. 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: 2026-05-07 | 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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