Scikit Learn Güvenli mi?

Scikit Learn — Nerq Trust Score 88.0/100 (A notu). 2 güven boyutunun analizine dayanarak, kullanımı güvenli olarak değerlendirilmektedir. Son güncelleme: 2026-04-05.

Evet, Scikit Learn kullanımı güvenlidir. Scikit Learn bir Python package with a Nerq Trust Score of 88.0/100 (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).

Scikit Learn Güvenli mi?

YES — Scikit Learn has a Nerq Trust Score of 88.0/100 (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.

Güvenlik Analizi → {name} Gizlilik Raporu →

Scikit Learn'in güven puanı nedir?

Scikit Learn'in Nerq Güven Puanı 88.0/100 olup A notu almıştır. Bu puan 2 bağımsız olarak ölçülen boyuta dayanmaktadır.

Güvenlik
90
Popülerlik
100

Scikit Learn için temel güvenlik bulguları nelerdir?

Scikit Learn'in en güçlü sinyali 100/100 ile popülerlik'dir. Bilinen güvenlik açığı tespit edilmemiştir. Nerq Doğrulanmış eşiğini (70+) karşılamaktadır.

Security score: 90/100 (strong)
Popularity: 100/100 — community adoption

Scikit Learn nedir ve kim tarafından yönetilmektedir?

GeliştiriciUnknown
Kategoripypi
KaynakN/A

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Safety Guide: Scikit Learn

What is Scikit Learn?

Scikit Learn is a Python package — A set of python modules for machine learning and data mining.

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-learn

Key Safety Concerns for Python packages

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

Trust Assessment

Scikit Learn 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

Detaylı Puan Analizi

DimensionScore
Security90/100
Privacy80/100
Reliability90/100
Transparency50/100
Maintenance60/100

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

Scikit Learn hangi verileri topluyor?

Scikit Learn is a Python package maintained by Unknown. It receives approximately 45,807,671 weekly downloads.

As a development package, Scikit Learn 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: Scikit Learn Gizlilik Raporu · Privacy review

Scikit Learn güvenli mi?

Security score: 90/100. Scikit Learn 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.

Tam analiz: Scikit Learn Güvenlik Raporu

Bu puanı nasıl hesapladık

Scikit Learn's trust score of 88.0/100 (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)

Sık Sorulan Sorular

Is Scikit Learn safe to use?
Yes, it is safe to use. scikit-learn has a Nerq Trust Score of 88.0/100 (A). Strongest signal: popülerlik (100/100). Score based on security (90/100), popularity (100/100).
What is Scikit Learn's trust score?
scikit-learn: 88.0/100 (A). Score based on: security (90/100), popularity (100/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=scikit-learn
What are safer alternatives to Scikit Learn?
In the pypi category, more Python packages are being analyzed — check back soon. scikit-learn scores 88.0/100.
Does Scikit Learn have known vulnerabilities?
Nerq checks Scikit Learn against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
How actively maintained is Scikit Learn?
Scikit Learn has a trust score of 88.0/100 (A). Meets Nerq Verified threshold.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq güven puanları, kamuya açık sinyallere dayanan otomatik değerlendirmelerdir. Tavsiye veya garanti niteliğinde değildir. Her zaman kendi doğrulamanızı yapın.

Analiz ve önbelleğe alma için çerezler kullanıyoruz. Gizlilik