Czy Pyright jest bezpieczny?
Pyright — Nerq Trust Score 79.2/100 (Ocena B+). Na podstawie analizy 2 wymiarów zaufania, jest ogólnie bezpieczny, ale z pewnymi zastrzeżeniami. Ostatnia aktualizacja: 2026-04-05.
Tak, Pyright jest bezpieczny w użyciu. Pyright to Python package with a Nerq Trust Score of 79.2/100 (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. Dane odczytywalne maszynowo (JSON).
Czy Pyright jest bezpieczny?
YES — Pyright has a Nerq Trust Score of 79.2/100 (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.
Jaki jest wynik zaufania Pyright?
Pyright ma Nerq Trust Score 79.2/100 z oceną B+. Ten wynik opiera się na 2 niezależnie mierzonych wymiarach, w tym bezpieczeństwie, konserwacji i adopcji społeczności.
Jakie są kluczowe ustalenia bezpieczeństwa dla Pyright?
Najsilniejszy sygnał Pyright to bezpieczeństwo na poziomie 90/100. Nie wykryto znanych luk w zabezpieczeniach. It meets the Nerq Verified threshold of 70+.
Czym jest Pyright i kto go utrzymuje?
| Autor | Robert Craigie |
| Kategoria | pypi |
| Źródło | N/A |
Pyright na innych platformach
Ten sam deweloper/firma w innych rejestrach:
Podobne Pypi wg wyniku zaufania
Safety Guide: Pyright
What is Pyright?
Pyright is a Python package — Command line wrapper for pyright.
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=pyright
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Pyright has a Nerq Trust Score of 79/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Pyright has a Trust Score of 79/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Szczegółowa analiza wyniku
| 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.
Jakie dane zbiera Pyright?
Pyright is a Python package maintained by Robert Craigie. It receives approximately 6,919,710 weekly downloads. Licensed under MIT.
As a development package, Pyright 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.
Pełna analiza: Raport prywatności Pyright · Privacy review
Czy Pyright jest bezpieczny?
Security score: 90/100. Pyright has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT, 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.
Pełna analiza: Raport bezpieczeństwa Pyright
Pyright na innych platformach
Ten sam deweloper/firma w innych rejestrach:
Jak obliczyliśmy ten wynik
Pyright's trust score of 79.2/100 (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)
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Disclaimer: Wyniki zaufania Nerq to zautomatyzowane oceny oparte na publicznie dostępnych sygnałach. Nie stanowią rekomendacji ani gwarancji. Zawsze przeprowadzaj własną weryfikację.