Is Linalg Safe?
Linalg — Nerq Trust Score 55.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Linalg is a Rust crate with a Nerq Trust Score of 55.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 45/100. Data sourced from crates.io registry, GitHub, NVD, and RustSec advisory database. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Linalg safe?
Trust Score Breakdown — Linalg has a Nerq Trust Score of 55.0/100 (C). Measured across 2 independent trust signals (as of 2026-03-25).
What is Linalg's trust score?
Linalg has a Nerq Trust Score of 55.0/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Linalg?
Linalg's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Linalg and who maintains it?
| Author | Unknown |
| Category | Rust Crates |
| Source | N/A |
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Safety Guide: Linalg
What is Linalg?
Linalg is a Rust crate — A toy implementation of Linear Algebra data structures and routines..
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=linalg
Key Safety Concerns for Rust crate
When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.
Measured Signals
Linalg has a Nerq Trust Score of 55/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Linalg has a Trust Score of 55/100 (C).
- 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.
Frequently Asked Questions
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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.