Apache Airflow est-il sûr ?
Apache Airflow — Nerq Trust Score 74.2/100 (Note B). Sur la base de l'analyse de 2 dimensions de confiance, il est généralement sûr mais avec quelques préoccupations. Dernière mise à jour : 2026-04-05.
Oui, Apache Airflow est sûr à utiliser. Apache Airflow est un package Python avec un Nerq Trust Score de 74.2/100 (B), basé sur 3 dimensions de données indépendantes. It is recommandé pour une utilisation en production. Security: 90/100. Popularity: 90/100. Données de PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Dernière mise à jour: 2026-04-05. Données lisibles par machine (JSON).
Apache Airflow est-il sûr ?
YES — Apache Airflow has a Nerq Trust Score of 74.2/100 (B). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommandé pour une utilisation en production — review the full report below for specific considerations.
Quel est le score de confiance de Apache Airflow ?
Apache Airflow a un Score de Confiance Nerq de 74.2/100, obtenant la note B. Ce score est basé sur 2 dimensions mesurées indépendamment.
Quels sont les résultats de sécurité clés pour Apache Airflow ?
Le signal le plus fort de Apache Airflow est sécurité à 90/100. Aucune vulnérabilité connue n'a été détectée. Atteint le seuil vérifié Nerq de 70+.
Qu'est-ce que Apache Airflow et qui le maintient ?
| Auteur | Unknown |
| Catégorie | pypi |
| Source | N/A |
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Safety Guide: Apache Airflow
What is Apache Airflow?
Apache Airflow is a Python package — Programmatically author, schedule and monitor data pipelines.
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=apache-airflow
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Apache Airflow has a Nerq Trust Score of 74/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Apache Airflow has a Trust Score of 74/100 (B).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Analyse détaillée du score
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 50/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
Quelles données Apache Airflow collecte-t-il ?
Apache Airflow is a Python package maintained by Unknown. It receives approximately 4,196,919 weekly downloads.
As a development package, Apache Airflow 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.
Analyse complète : Rapport de confidentialité de Apache Airflow · Privacy review
Apache Airflow est-il sécurisé ?
Security score: 90/100. Apache Airflow 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.
Analyse complète : Rapport de sécurité de Apache Airflow
Comment nous avons calculé ce score
Apache Airflow's trust score of 74.2/100 (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 (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)
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Disclaimer: Les scores de confiance Nerq sont des évaluations automatisées basées sur des signaux publiquement disponibles. Ce ne sont pas des recommandations ou des garanties. Effectuez toujours votre propre vérification.