Is Sklearn Sample Datasets Rs Safe?

Sklearn Sample Datasets Rs — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25

Sklearn Sample Datasets Rs is a Rust crate with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from crates.io registry, GitHub, NVD, and RustSec advisory database. Last updated: 2026-03-25. Machine-readable data (JSON).

Safety Guide: Sklearn Sample Datasets Rs

What is Sklearn Sample Datasets Rs?

Sklearn Sample Datasets Rs is a Rust crate — Rust port of https://scikit-learn.org/stable/datasets/index.html.

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=sklearn-sample-datasets-rs

Key Safety Concerns for Rust crate

When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.

Measured Signals

Sklearn Sample Datasets Rs has a Nerq Trust Score of 48/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Sklearn Sample Datasets Rs has a Trust Score of 48/100 (D).
• 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.

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.