Безопасен ли Boolean.Py?
Boolean.Py — Nerq Trust Score 72.5/100 (Оценка B). На основе анализа 2 измерений доверия, считается в целом безопасным, но с некоторыми опасениями. Последнее обновление: 2026-04-05.
Да, Boolean.Py безопасен для использования. Boolean.Py — это Python package with a Nerq Trust Score of 72.5/100 (B), based on 3 independent data dimensions. It is recommended for production use. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Машинночитаемые данные (JSON).
Безопасен ли Boolean.Py?
YES — Boolean.Py has a Nerq Trust Score of 72.5/100 (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.
Каков рейтинг доверия Boolean.Py?
Boolean.Py имеет Nerq Trust Score 72.5/100 с оценкой B. Этот балл основан на 2 независимо измеренных параметрах, включая безопасность, обслуживание и принятие сообществом.
Каковы основные выводы по безопасности Boolean.Py?
Самый сильный сигнал Boolean.Py — безопасность на уровне 90/100. Известных уязвимостей не обнаружено. It meets the Nerq Verified threshold of 70+.
Что такое Boolean.Py и кто его поддерживает?
| Разработчик | Sebastian Kraemer |
| Категория | pypi |
| Источник | N/A |
Похожие Pypi по рейтингу доверия
Safety Guide: Boolean.Py
What is Boolean.Py?
Boolean.Py is a Python package — Define boolean algebras, create and parse boolean expressions and create custom boolean DSL..
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=boolean.py
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Boolean.Py has a Nerq Trust Score of 72/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Boolean.Py has a Trust Score of 72/100 (B).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Подробный анализ рейтинга
| 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.
Какие данные собирает Boolean.Py?
Boolean.Py is a Python package maintained by Sebastian Kraemer. It receives approximately 3,992,491 weekly downloads. Licensed under BSD-2-Clause.
As a development package, Boolean.Py 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.
Полный анализ: Отчёт о конфиденциальности Boolean.Py · Privacy review
Безопасен ли Boolean.Py?
Security score: 90/100. Boolean.Py has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under BSD-2-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.
Полный анализ: Отчёт о безопасности Boolean.Py
Как мы рассчитали этот рейтинг
Boolean.Py's trust score of 72.5/100 (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)
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Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.