Is Permut Lib Safe?
Permut Lib — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Permut Lib 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).
Is Permut Lib safe?
Trust Score Breakdown — Permut Lib has a Nerq Trust Score of 48.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Permut Lib's trust score?
Permut Lib has a Nerq Trust Score of 48.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Permut Lib?
Permut Lib's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Permut Lib and who maintains it?
| Author | Unknown |
| Category | Rust Crates |
| Source | N/A |
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Safety Guide: Permut Lib
What is Permut Lib?
Permut Lib is a Rust crate — Simple function to generate permutations on a dictionry of a u8 chars set. I used it for generate unic Items into my proc macros..
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=permut_lib
Key Safety Concerns for Rust crate
When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.
Measured Signals
Permut Lib 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
- Permut Lib 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.
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.