Is Functions Js Safe?
Functions Js — Nerq Trust Score 90.5/100 (A+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Functions Js is a npm package with a Nerq Trust Score of 90.5/100 (A+), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 100/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Functions Js safe?
Trust Score Breakdown — Functions Js has a Nerq Trust Score of 90.5/100 (A+). Measured across 2 independent trust signals (as of 2026-04-12).
What is Functions Js's trust score?
Functions Js has a Nerq Trust Score of 90.5/100, earning a A+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Functions Js?
Functions Js's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Functions Js and who maintains it?
| Author | etienne_supa |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Functions Js
What is Functions Js?
Functions Js is a Node.js package — JS SDK to interact with Supabase Functions..
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=@supabase/functions-js
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Functions Js has a Nerq Trust Score of 90/100 (A+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Functions Js has a Trust Score of 90/100 (A+).
- 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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 100/100 |
| Quality | 80/100 |
| Community | 80/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Functions Js collect?
Functions Js is a Node.js package maintained by etienne_supa. It receives approximately 12,934,875 weekly downloads. Licensed under MIT.
As a development package, Functions Js 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: Functions Js Privacy Report · Privacy review
Is Functions Js secure?
Security score: 90/100. Functions Js 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: Functions Js Security Report
How we calculated this score
Functions Js's trust score of 90.5/100 (A+) 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 (100/100), quality (80/100), community (80/100). 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.
Signals last measured on April 12, 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 measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.