Is Parking Lot Safe?
Parking Lot — Nerq Trust Score 63.2/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-06.
Use Parking Lot with some caution. Parking Lot is a Rust crate with a Nerq Trust Score of 63.2/100 (C+), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 100/100. Data sourced from crates.io registry, GitHub, NVD, and RustSec advisory database. Last updated: 2026-04-06. Machine-readable data (JSON).
Is Parking Lot safe?
CAUTION — Parking Lot has a Nerq Trust Score of 63.2/100 (C+). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Parking Lot's trust score?
Parking Lot has a Nerq Trust Score of 63.2/100, 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 Parking Lot?
Parking Lot's strongest signal is popularity at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Parking Lot and who maintains it?
| Author | Unknown |
| Category | Rust Crates |
| Source | N/A |
Similar Crates by Trust Score
Safety Guide: Parking Lot
What is Parking Lot?
Parking Lot is a Rust crate — More compact and efficient implementations of the standard synchronization primitives..
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=parking_lot
Key Safety Concerns for Rust crate
When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.
Trust Assessment
Parking Lot has a Nerq Trust Score of 63/100 (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
- Parking Lot has a Trust Score of 63/100 (C+).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 50/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from crates.io registry, GitHub, NVD, and RustSec advisory database.
What data does Parking Lot collect?
Parking Lot is a Rust crate maintained by Unknown. It receives approximately 684,536,588 weekly downloads.
As a development package, Parking Lot 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.
Full analysis: Parking Lot Privacy Report · Privacy review
Is Parking Lot secure?
Security score: 90/100. Parking Lot 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: Parking Lot Security Report
How we calculated this score
Parking Lot's trust score of 63.2/100 (C+) is computed from crates.io registry, GitHub, NVD, and RustSec advisory database. The score reflects 5 independent dimensions: security (90/100), privacy (80/100), reliability (90/100), transparency (50/100), 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 06, 2026. Data version: 1.0.
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.