Scikit Imageは安全ですか？
Scikit Image — Nerq Trust Score 77.2/100 (B+グレード). 2つの信頼次元の分析に基づき、概ね安全だがいくつかの懸念があると評価されています。 最終更新：2026-04-05。
はい、Scikit Imageは安全に使用できます。 Scikit Image はPythonパッケージです Nerq信頼スコア77.2/100（B+）, 3つの独立したデータ次元に基づく. It is 本番環境での使用に推奨. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Machine-readable data (JSON).
Scikit Imageは安全ですか？
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. 本番環境での使用に推奨 — review the full report below for specific considerations.
Scikit Imageの信頼スコアは？
Scikit ImageのNerq信頼スコアは77.2/100で、B+グレードです。このスコアはセキュリティ、メンテナンス、コミュニティ採用を含む2の独立した次元に基づいています。
Scikit Imageの主なセキュリティ調査結果は？
Scikit Imageの最も強いシグナルはセキュリティで90/100です。 既知の脆弱性は検出されていません。 Nerq認証閾値70+を満たしています。
Scikit Imageとは何で、誰が管理していますか？
| 作者 | Unknown |
| カテゴリ | pypi |
| Source | N/A |
Scikit Imageの他プラットフォーム
Same developer/company in other registries:
Safety Guide: Scikit Image
What is 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.
詳細なスコア分析
| 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.
Scikit Imageはどのようなデータを収集しますか？
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: プライバシーレポート · Privacy review
Scikit Imageは安全ですか？
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
このスコアの算出方法
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 05, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
よくある質問
Is Scikit Image safe to use?
What is Scikit Image's trust score?
What are safer alternatives to Scikit Image?
Does Scikit Image have known vulnerabilities?
How actively maintained is Scikit Image?
人気の pypi
Disclaimer: Nerqの信頼スコアは、公開されている情報に基づく自動評価です。推奨や保証ではありません。必ずご自身でも確認してください。