Is Tensorflow Safe?
Tensorflow — Nerq Trust Score 88.0/100 (A grade). Based on analysis of 2 trust dimensions, it is considered safe to use. Last updated: 2026-05-13.
Yes, Tensorflow is safe to use. Tensorflow is a Rust crate with a Nerq Trust Score of 88.0/100 (A), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 75/100. Data sourced from crates.io registry, GitHub, NVD, and RustSec advisory database. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Tensorflow safe?
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.
What is Tensorflow's trust score?
Tensorflow has a Nerq Trust Score of 88.0/100, earning a A grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Tensorflow?
Tensorflow's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Tensorflow and who maintains it?
| Author | Unknown |
| Category | Rust Crates |
| Source | N/A |
Safety Guide: Tensorflow
What is Tensorflow?
Tensorflow is a Rust crate — Rust language bindings for TensorFlow..
How to Verify Safety
Run cargo audit. Review on crates.io for activity.
You can also check the trust score via API: GET /v1/preflight?target=tensorflow
Key Safety Concerns for Rust crate
When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.
Trust Assessment
Tensorflow has a Nerq Trust Score of 60/100 (C) 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
- Tensorflow has a Trust Score of 60/100 (C).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 50/100 |
| Popularity | 75/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from crates.io registry, GitHub, NVD, and RustSec advisory database.
What data does Tensorflow collect?
Privacy assessment for Tensorflow is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Tensorflow secure?
Security score: 90/100. Tensorflow 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: Tensorflow Security Report
How we calculated this score
Tensorflow's trust score of 88.0/100 (A) is computed from crates.io registry, GitHub, NVD, and RustSec advisory database. The score reflects 5 independent dimensions: security (90/100), maintenance (50/100), popularity (75/100), 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.
This page was last reviewed on May 13, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.