Matplotlib Güvenli mi?
Matplotlib — Nerq Trust Score 87.0/100 (A notu). 2 güven boyutunun analizine dayanarak, kullanımı güvenli olarak değerlendirilmektedir. Son güncelleme: 2026-04-05.
Evet, Matplotlib kullanımı güvenlidir. Matplotlib bir 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: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Makine tarafından okunabilir veri (JSON).
Matplotlib Güvenli mi?
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.
Matplotlib'in güven puanı nedir?
Matplotlib'in Nerq Güven Puanı 87.0/100 olup A notu almıştır. Bu puan 2 bağımsız olarak ölçülen boyuta dayanmaktadır.
Matplotlib için temel güvenlik bulguları nelerdir?
Matplotlib'in en güçlü sinyali 100/100 ile popülerlik'dir. Bilinen güvenlik açığı tespit edilmemiştir. Nerq Doğrulanmış eşiğini (70+) karşılamaktadır.
Matplotlib nedir ve kim tarafından yönetilmektedir?
| Geliştirici | John D. Hunter, Michael Droettboom |
| Kategori | pypi |
| Kaynak | N/A |
Matplotlib Diğer Platformlarda
Diğer kayıt defterlerinde aynı geliştirici/şirket:
Güven Puanına göre benzer Pypi
Safety Guide: Matplotlib
What is 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 76/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Matplotlib has a Trust Score of 76/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detaylı Puan Analizi
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 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.
Matplotlib hangi verileri topluyor?
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.
Tam analiz: Matplotlib Gizlilik Raporu · Privacy review
Matplotlib güvenli mi?
Security score: 90/100. 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.
Tam analiz: Matplotlib Güvenlik Raporu
Matplotlib Diğer Platformlarda
Diğer kayıt defterlerinde aynı geliştirici/şirket:
Bu puanı nasıl hesapladık
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 (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 05, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Sık Sorulan Sorular
Is Matplotlib safe to use?
What is Matplotlib's trust score?
What are safer alternatives to Matplotlib?
Does Matplotlib have known vulnerabilities?
How actively maintained is Matplotlib?
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Disclaimer: Nerq güven puanları, kamuya açık sinyallere dayanan otomatik değerlendirmelerdir. Tavsiye veya garanti niteliğinde değildir. Her zaman kendi doğrulamanızı yapın.