Is Wheel Safe?
Wheel — Nerq Trust Score 75.8/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-08
Wheel is a Python package with a Nerq Trust Score of 75.8/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-09-08 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-09-08. Machine-readable data (JSON).
Is Wheel safe?
Trust Score Breakdown — Wheel has a Nerq Trust Score of 75.8/100 (B+). Measured across 2 independent trust signals (as of 2026-09-08).
What is Wheel's trust score?
Wheel has a Nerq Trust Score of 75.8/100, earning a B+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Wheel?
Wheel's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Wheel and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Wheel Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Wheel
What is Wheel?
Wheel is a Python package — Command line tool for manipulating wheel files.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=wheel
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Wheel has a Nerq Trust Score of 76/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Wheel has a Trust Score of 76/100 (B+).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 100/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Wheel collect?
Wheel is a Python package maintained by Unknown. It receives approximately 133,785,316 weekly downloads.
As a development package, Wheel does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Wheel Privacy Report · Privacy review
Is Wheel secure?
Security score: 90/100. Wheel has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
License information not available. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Wheel Security Report
Wheel Across Platforms
Same developer/company in other registries:
How we calculated this score
Wheel's trust score of 75.8/100 (B+) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (100/100), quality (40/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
Signals last measured on September 08, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.