Is Faiss Cpu Safe?
Faiss Cpu — Nerq Trust Score 68.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Faiss Cpu is a Python package with a Nerq Trust Score of 68.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Faiss Cpu safe?
Trust Score Breakdown — Faiss Cpu has a Nerq Trust Score of 68.2/100 (B-). Measured across 2 independent trust signals (as of 2026-04-12).
What is Faiss Cpu's trust score?
Faiss Cpu has a Nerq Trust Score of 68.2/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Faiss Cpu?
Faiss Cpu's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Faiss Cpu and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
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 package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Faiss Cpu has a Nerq Trust Score of 68/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Faiss Cpu has a Trust Score of 68/100 (B-).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 76/100 |
| Popularity | 90/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Faiss Cpu collect?
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.
Full analysis: Faiss Cpu Privacy Report · Privacy review
Is Faiss Cpu secure?
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.
Full analysis: Faiss Cpu Security Report
How we calculated this score
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), maintenance (76/100), popularity (90/100), quality (40/100), community (35/100). 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.
Signals last measured on April 12, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
Is Faiss Cpu Safe?
What is Faiss Cpu's trust score?
What are safer alternatives to Faiss Cpu?
Does Faiss Cpu have known vulnerabilities?
Is Faiss Cpu actively maintained?
Popular in Python Packages
Browse Categories
See Also
Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.