क्या Faiss Cpu सुरक्षित है?
Faiss Cpu — Nerq Trust Score 68.2/100 (B- ग्रेड). 2 विश्वास आयामों के विश्लेषण के आधार पर, इसे आम तौर पर सुरक्षित लेकिन कुछ चिंताएं हैं माना जाता है। अंतिम अपडेट: 2026-04-05।
Faiss Cpu का उपयोग सावधानी से करें। Faiss Cpu एक Python package है with a Nerq Trust Score of 68.2/100 (B-), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. मशीन पठनीय डेटा (JSON).
क्या Faiss Cpu सुरक्षित है?
CAUTION — Faiss Cpu has a Nerq Trust Score of 68.2/100 (B-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
Faiss Cpu का विश्वास स्कोर क्या है?
Faiss Cpu का Nerq Trust Score 68.2/100 है, ग्रेड B-। यह स्कोर सुरक्षा, रखरखाव और सामुदायिक अपनाने सहित 2 स्वतंत्र रूप से मापे गए आयामों पर आधारित है।
Faiss Cpu के प्रमुख सुरक्षा निष्कर्ष क्या हैं?
Faiss Cpu का सबसे मजबूत संकेत सुरक्षा है 90/100 पर। कोई ज्ञात भेद्यता नहीं पाई गई। It has not yet reached the Nerq Verified threshold of 70+.
Faiss Cpu क्या है और इसका रखरखाव कौन करता है?
| डेवलपर | Unknown |
| श्रेणी | pypi |
| स्रोत | N/A |
विश्वास स्कोर द्वारा समान Pypi
Safety Guide: Faiss Cpu
What is Faiss Cpu?
Faiss Cpu is a Python package — A library for efficient similarity search and clustering of dense vectors..
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=faiss-cpu
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Faiss Cpu has a Nerq Trust Score of 68/100 (B-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Faiss Cpu has a Trust Score of 68/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
विस्तृत स्कोर विश्लेषण
| 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.
Faiss Cpu कौन सा डेटा एकत्र करता है?
Faiss Cpu is a Python package maintained by Unknown. It receives approximately 3,281,658 weekly downloads.
As a development package, Faiss Cpu 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.
पूर्ण विश्लेषण: Faiss Cpu गोपनीयता रिपोर्ट · Privacy review
क्या Faiss Cpu सुरक्षित है?
Security score: 90/100. Faiss Cpu 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.
पूर्ण विश्लेषण: Faiss Cpu सुरक्षा रिपोर्ट
हमने इस स्कोर की गणना कैसे की
Faiss Cpu's trust score of 68.2/100 (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)
अक्सर पूछे जाने वाले प्रश्न
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Does Faiss Cpu have known vulnerabilities?
How actively maintained is Faiss Cpu?
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