هل Scikit Image آمن؟
Scikit Image — Nerq Trust Score 77.2/100 (الدرجة B+). بناءً على تحليل 2 أبعاد للثقة، يُعتبر آمنًا بشكل عام مع بعض المخاوف. آخر تحديث: 2026-04-02.
نعم، Scikit Image آمن للاستخدام. Scikit Image is a Python package with a Nerq Trust Score of 77.2/100 (B+), based on 3 independent data dimensions. It is recommended for production use. Security: 90/100. Popularity: 90/100. البيانات مصدرها قراءة آلية.
هل Scikit Image آمن؟
YES — Scikit Image has a Nerq Trust Score of 77.2/100 (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.
ما هي درجة ثقة Scikit Image؟
حصل Scikit Image على درجة ثقة Nerq تبلغ 77.2/100 بدرجة B+. يعتمد هذا التقييم على 2 أبعاد مُقاسة بشكل مستقل.
ما هي النتائج الأمنية الرئيسية لـ Scikit Image؟
أقوى إشارة لـ Scikit Image هي الأمان بدرجة 90/100. لم يتم اكتشاف أي ثغرات أمنية معروفة. يستوفي عتبة التحقق من Nerq البالغة 70+.
ما هو Scikit Image ومن يديره؟
| المؤلف | Unknown |
| الفئة | pypi |
| المصدر | N/A |
Scikit Image عبر المنصات
منتجات من نفس المطور
Pypi مشابهة حسب درجة الثقة
دليل الأمان: Scikit Image
ما هو Scikit Image?
Scikit Image is a Python package — Image processing 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=scikit-image
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Scikit Image has a Nerq Trust Score of 77/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Scikit Image has a Trust Score of 77/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
تحليل مفصل للدرجة
| Dimension | Score |
|---|---|
| Security | 90/100 |
| الخصوصية | 80/100 |
| Reliability | 90/100 |
| Transparency | 85/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
ما البيانات التي يجمعها Scikit Image؟
Scikit Image is a Python package maintained by Unknown. It receives approximately 5,686,320 weekly downloads. Licensed under Files: * Copyright: 2009-2022 the scikit-image team License: BSD-3-Clause .
As a development package, Scikit Image 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: تقرير الخصوصية · الخصوصية review
هل Scikit Image آمن؟
Security score: 90/100. Scikit Image has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Files: * Copyright: 2009-2022 the scikit-image team License: BSD-3-Clause , 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: Scikit Image Security Report
كيف حسبنا هذه الدرجة
Scikit Image's trust score of 77.2/100 (B+) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), privacy (80/100), reliability (90/100), transparency (85/100), 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 02, 2026. Data version: 1.0.
الأسئلة الشائعة
Is Scikit Image safe to use?
ما هو Scikit Image's trust score?
What are safer alternatives to Scikit Image?
Does Scikit Image have known vulnerabilities?
How actively maintained is Scikit Image?
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Disclaimer: درجات ثقة Nerq هي تقييمات آلية مبنية على إشارات متاحة للعموم. وهي ليست توصيات أو ضمانات. قم دائمًا بإجراء العناية الواجبة الخاصة بك.