Is Data Table Safe?
Data Table — Nerq Trust Score 76.2/100 (B+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-07.
Yes, Data Table is safe to use. Data Table is a npm package with a Nerq Trust Score of 76.2/100 (B+), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 45/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Data Table safe?
YES — Data Table has a Nerq Trust Score of 76.2/100 (B+). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
What is Data Table's trust score?
Data Table has a Nerq Trust Score of 76.2/100, earning a B+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Data Table?
Data Table's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Data Table and who maintains it?
| Author | ilyabo |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Data Table
What is Data Table?
Data Table is a Node.js package — A high-performance data table component library for SQLRooms applications. This package provides flexible and feature-rich table components for displaying and interacting with large datasets, with spe.
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=@sqlrooms/data-table
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Trust Assessment
Data Table has a Nerq Trust Score of 76/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Data Table has a Trust Score of 76/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 45/100 |
| Quality | 80/100 |
| Community | 40/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Data Table collect?
Privacy assessment for Data Table is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Data Table secure?
Security score: 90/100. Data Table has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT, allowing code inspection. 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: Data Table Security Report
How we calculated this score
Data Table's trust score of 76.2/100 (B+) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (45/100), quality (80/100), community (40/100). 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 May 07, 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.