Er Tensorflow sikker?
Tensorflow — Nerq Trust Score 88.0/100 (Karakter A). Baseret på analyse af 2 tillidsdimensioner vurderes det som sikkert at bruge. Sidst opdateret: 2026-04-05.
Ja, Tensorflow er sikker at bruge. Tensorflow er en Python package with a Nerq Trust Score of 88.0/100 (A), 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. Maskinlæsbare data (JSON).
Er Tensorflow sikker?
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. Recommended for production use — review the full report below for specific considerations.
Hvad er Tensorflows tillidsscore?
Tensorflow har en Nerq Trust Score på 88.0/100 med karakteren A. Denne score er baseret på 2 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Tensorflow?
Tensorflows stærkeste signal er sikkerhed på 90/100. Ingen kendte sårbarheder er fundet. It meets the Nerq Verified threshold of 70+.
Hvad er Tensorflow og hvem vedligeholder det?
| Udvikler | Google Inc. |
| Kategori | pypi |
| Kilde | N/A |
Tensorflow på andre platforme
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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.
Detaljeret scoreanalyse
| 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.
Hvilke data indsamler Tensorflow?
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.
Fuld analyse: Tensorflow privatlivsrapport · Privacy review
Er Tensorflow sikker?
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.
Fuld analyse: Tensorflow sikkerhedsrapport
Tensorflow på andre platforme
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Sådan beregnede vi denne score
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)
Ofte stillede spørgsmål
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Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.