Is Libimagequant Wasm Safe?
Libimagequant Wasm — Nerq Trust Score 48.2/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-06-02.
Exercise caution with Libimagequant Wasm. Libimagequant Wasm is a npm package with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Libimagequant Wasm safe?
NO — USE WITH CAUTION — Libimagequant Wasm has a Nerq Trust Score of 48.2/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
What is Libimagequant Wasm's trust score?
Libimagequant Wasm 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 Libimagequant Wasm?
Libimagequant Wasm's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Libimagequant Wasm and who maintains it?
| Author | akshet |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Libimagequant Wasm
What is Libimagequant Wasm?
Libimagequant Wasm is a Node.js package — WASM bindings for libimagequant image quantization library with Web Worker support.
How to Verify Safety
Run npm audit to check for vulnerabilities. Review the package's GitHub repository for recent commits.
You can also check the trust score via API: GET /v1/preflight?target=libimagequant-wasm
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Trust Assessment
Libimagequant Wasm has a Nerq Trust Score of 48/100 (D) 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
- Libimagequant Wasm has a Trust Score of 48/100 (D).
- 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 | 0/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Libimagequant Wasm collect?
Privacy assessment for Libimagequant Wasm is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Libimagequant Wasm secure?
Security score: 90/100. Libimagequant Wasm 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: Libimagequant Wasm Security Report
How we calculated this score
Libimagequant Wasm's trust score of 48.2/100 (D) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (50/100), popularity (0/100), 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 June 02, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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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.