Tensorflow은(는) 안전한가요?
Tensorflow — Nerq Trust Score 88.0/100 (A 등급). 2개의 신뢰 차원 분석 결과, 안전한 것으로 간주됨으로 평가됩니다. 마지막 업데이트: 2026-04-05.
네, Tensorflow은(는) 사용하기에 안전합니다. Tensorflow 은(는) Python package입니다 Nerq 신뢰 점수 88.0/100 (A), 3개의 독립적으로 측정된 데이터 차원 기반. It is 프로덕션 사용에 권장. Security: 90/100. Popularity: 90/100. PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard에서 수집된 데이터. 마지막 업데이트: 2026-04-05. 기계 판독 가능 데이터 (JSON).
Tensorflow은(는) 안전한가요?
YES — Tensorflow has a Nerq Trust Score of 88.0/100 (A). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. 프로덕션 사용에 권장 — review the full report below for specific considerations.
Tensorflow의 신뢰 점수는?
Tensorflow의 Nerq 신뢰 점수는 88.0/100이며 A 등급입니다. 이 점수는 보안, 유지보수, 커뮤니티 채택을 포함한 2개의 독립적으로 측정된 차원을 기반으로 합니다.
Tensorflow의 주요 보안 발견 사항은?
Tensorflow의 가장 강한 신호는 보안이며 90/100입니다. 알려진 취약점이 감지되지 않았습니다. Nerq 인증 임계값 70+를 충족합니다.
Tensorflow은(는) 무엇이며 누가 관리하나요?
| 개발자 | Google Inc. |
| 카테고리 | pypi |
| 출처 | N/A |
다른 플랫폼의 Tensorflow
다른 레지스트리의 동일 개발자/회사:
Safety Guide: Tensorflow
What is Tensorflow?
Tensorflow is a Python package — TensorFlow is an open source machine learning framework for everyone..
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=tensorflow
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Tensorflow 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
- Tensorflow has a Trust Score of 79/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
상세 점수 분석
| 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.
Tensorflow은(는) 어떤 데이터를 수집하나요?
Tensorflow is a Python package maintained by Google Inc.. It receives approximately 5,033,545 weekly downloads. Licensed under Apache 2.0.
As a development package, Tensorflow 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.
전체 분석: Tensorflow 개인정보 보고서 · Privacy review
Tensorflow은(는) 안전한가요?
Security score: 90/100. Tensorflow has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Apache 2.0, 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.
전체 분석: Tensorflow 보안 보고서
다른 플랫폼의 Tensorflow
다른 레지스트리의 동일 개발자/회사:
이 점수를 어떻게 계산했나요
Tensorflow's trust score of 88.0/100 (A) 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)
자주 묻는 질문
Is Tensorflow safe to use?
What is Tensorflow's trust score?
What are safer alternatives to Tensorflow?
Does Tensorflow have known vulnerabilities?
How actively maintained is Tensorflow?
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Disclaimer: Nerq 신뢰 점수는 공개적으로 사용 가능한 신호를 기반으로 한 자동 평가입니다. 추천이나 보증이 아닙니다. 항상 직접 확인하세요.