هل Matplotlib آمن؟

Matplotlib — Nerq Trust Score 87.0/100 (الدرجة A). بناءً على تحليل 2 أبعاد للثقة، يُعتبر آمنًا للاستخدام. آخر تحديث: 2026-04-01.

نعم، Matplotlib آمن للاستخدام. Matplotlib is a Python package with a Nerq Trust Score of 87.0/100 (A), based on 3 independent data dimensions. It is recommended for production use. Security: 70/100. Popularity: 95/100. البيانات مصدرها قراءة آلية.

هل Matplotlib آمن؟

YES — Matplotlib has a Nerq Trust Score of 87.0/100 (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.

تحليل الأمان → تقرير الخصوصية →

ما هي درجة ثقة Matplotlib؟

حصل Matplotlib على درجة ثقة Nerq تبلغ 87.0/100 بدرجة A. يعتمد هذا التقييم على 2 أبعاد مُقاسة بشكل مستقل.

الأمان
70
الشعبية
95

ما هي النتائج الأمنية الرئيسية لـ Matplotlib؟

أقوى إشارة لـ Matplotlib هي الشعبية بدرجة 95/100. لم يتم اكتشاف أي ثغرات أمنية معروفة. يستوفي عتبة التحقق من Nerq البالغة 70+.

Security score: 70/100 (strong)
Popularity: 95/100 — community adoption

ما هو Matplotlib ومن يديره؟

المؤلفJohn D. Hunter, Michael Droettboom
الفئةpypi
المصدرN/A

Matplotlib عبر المنصات

منتجات من نفس المطور

matplotlib
36/100 · crates

دليل الأمان: Matplotlib

ما هو Matplotlib?

Matplotlib is a Python package — Python plotting package.

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=matplotlib

Key Safety Concerns for Python packages

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Matplotlib has a Nerq Trust Score of 64/100 (C+) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

تحليل مفصل للدرجة

DimensionScore
Security70/100
الخصوصية80/100
Reliability90/100
Transparency85/100
Maintenance60/100

Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.

ما البيانات التي يجمعها Matplotlib؟

Matplotlib is a Python package maintained by John D. Hunter, Michael Droettboom. It receives approximately 43,561,223 weekly downloads. Licensed under License agreement for matplotlib versions 1.3.0 and later =================================.

As a development package, Matplotlib 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 Matplotlib آمن؟

Security score: 70/100. Matplotlib has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.

Licensed under License agreement for matplotlib versions 1.3.0 and later =================================, 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: Matplotlib Security Report

Matplotlib عبر المنصات

منتجات من نفس المطور

matplotlib (crates, 36/100)

كيف حسبنا هذه الدرجة

Matplotlib's trust score of 87.0/100 (A) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (70/100), 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 01, 2026. Data version: 1.0.

Full methodology documentation · قراءة آلية data (JSON API)

الأسئلة الشائعة

Is Matplotlib safe to use?
Yes, it is safe to use. matplotlib has a Nerq Trust Score of 87.0/100 (A). Strongest signal: الشعبية (95/100). Score based on security (70/100), popularity (95/100).
ما هو Matplotlib's trust score?
matplotlib: 87.0/100 (A). Score based on: security (70/100), popularity (95/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=matplotlib
What are safer alternatives to Matplotlib?
In the pypi category, more Python packages are being analyzed — check back soon. matplotlib scores 87.0/100.
Does Matplotlib have known vulnerabilities?
Nerq checks Matplotlib against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 70/100. Run your package manager's audit command for the latest findings.
How actively maintained is Matplotlib?
Matplotlib has a trust score of 87.0/100 (A). Meets Nerq Verified threshold.
API: /v1/preflight Trust Badge واجهة برمجة التطبيقات Docs

Disclaimer: درجات ثقة Nerq هي تقييمات آلية مبنية على إشارات متاحة للعموم. وهي ليست توصيات أو ضمانات. قم دائمًا بإجراء العناية الواجبة الخاصة بك.

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