Este Numpy sigur?
Numpy — Nerq Trust Score 90.0/100 (Nota A+). Pe baza analizei a 2 dimensiuni de încredere, este considerat sigur pentru utilizare. Ultima actualizare: 2026-04-05.
Da, Numpy este sigur de utilizat. Numpy este un Python package with a Nerq Trust Score of 90.0/100 (A+), based on 3 independent data dimensions. It is recommended for production use. Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Date citibile de mașină (JSON).
Este Numpy sigur?
YES — Numpy has a Nerq Trust Score of 90.0/100 (A+). 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.
Care este scorul de încredere al Numpy?
Numpy are un Nerq Trust Score de 90.0/100 cu nota A+. Acest scor se bazează pe 2 dimensiuni măsurate independent, inclusiv securitate, întreținere și adopție comunitară.
Care sunt principalele constatări de securitate pentru Numpy?
Cel mai puternic semnal al Numpy este popularitate la 100/100. Nu au fost detectate vulnerabilități cunoscute. It meets the Nerq Verified threshold of 70+.
Ce este Numpy și cine îl întreține?
| Autor | Travis E. Oliphant et al. |
| Categorie | pypi |
| Sursă | N/A |
Numpy pe alte platforme
Același dezvoltator/companie în alte registre:
Pypi similare după Scor de Încredere
Safety Guide: Numpy
What is Numpy?
Numpy is a Python package — Fundamental package for array computing in Python.
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=numpy
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Numpy has a Nerq Trust Score of 76/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Numpy has a Trust Score of 76/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Analiză detaliată a scorului
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 50/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
Ce date colectează Numpy?
Numpy is a Python package maintained by Travis E. Oliphant et al.. It receives approximately 194,984,733 weekly downloads.
As a development package, Numpy 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.
Analiză completă: Raport de confidențialitate Numpy · Privacy review
Este Numpy sigur?
Security score: 90/100. Numpy 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.
Analiză completă: Raport de securitate Numpy
Numpy pe alte platforme
Același dezvoltator/companie în alte registre:
Cum am calculat acest scor
Numpy's trust score of 90.0/100 (A+) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), privacy (80/100), reliability (90/100), transparency (50/100), maintenance (60/100). 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 April 05, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Întrebări frecvente
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What is Numpy's trust score?
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Does Numpy have known vulnerabilities?
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