Is Allure Python Commons Safe?
Allure Python Commons — Nerq Trust Score 79.2/100 (B+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-09.
Yes, Allure Python Commons is safe to use. Allure Python Commons is a Python package with a Nerq Trust Score of 79.2/100 (B+), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Allure Python Commons safe?
YES — Allure Python Commons has a Nerq Trust Score of 79.2/100 (B+). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
What is Allure Python Commons's trust score?
Allure Python Commons has a Nerq Trust Score of 79.2/100, 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 Allure Python Commons?
Allure Python Commons's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Allure Python Commons and who maintains it?
| Author | Qameta Software Inc., Stanislav Seliverstov |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Allure Python Commons
What is Allure Python Commons?
Allure Python Commons is a Python package — Contains the API for end users as well as helper functions and classes to build Allure adapters for Python test frameworks.
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=allure-python-commons
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Allure Python Commons has a Nerq Trust Score of 79/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Allure Python Commons has a Trust Score of 79/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 90/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Allure Python Commons collect?
Privacy assessment for Allure Python Commons is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Allure Python Commons secure?
Security score: 90/100. Allure Python Commons has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Apache-2.0, allowing code inspection. 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: Allure Python Commons Security Report
How we calculated this score
Allure Python Commons's trust score of 79.2/100 (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 (90/100), quality (65/100), 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.
This page was last reviewed on May 09, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.