Is Fake Timers Safe?
Fake Timers — Nerq Trust Score 76.8/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-07
Fake Timers is a npm package with a Nerq Trust Score of 76.8/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-09-07 Security: 90/100. Popularity: 100/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-09-07. Machine-readable data (JSON).
Is Fake Timers safe?
Trust Score Breakdown — Fake Timers has a Nerq Trust Score of 76.8/100 (B+). Measured across 2 independent trust signals (as of 2026-09-07).
What is Fake Timers's trust score?
Fake Timers has a Nerq Trust Score of 76.8/100, 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 Fake Timers?
Fake Timers's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Fake Timers and who maintains it?
| Author | mrgnrdrck |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Fake Timers
What is Fake Timers?
Fake Timers is a Node.js package — Fake JavaScript timers.
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=@sinonjs/fake-timers
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Fake Timers has a Nerq Trust Score of 77/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Fake Timers has a Trust Score of 77/100 (B+).
- 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 | 65/100 |
| Popularity | 100/100 |
| Quality | 70/100 |
| Community | 60/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Fake Timers collect?
Fake Timers is a Node.js package maintained by mrgnrdrck. It receives approximately 49,312,523 weekly downloads. Licensed under BSD-3-Clause.
As a development package, Fake Timers 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: Fake Timers Privacy Report · Privacy review
Is Fake Timers secure?
Security score: 90/100. Fake Timers has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under BSD-3-Clause, 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: Fake Timers Security Report
How we calculated this score
Fake Timers's trust score of 76.8/100 (B+) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (65/100), popularity (100/100), quality (70/100), community (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.
Signals last measured on September 07, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API) · Dated observation record
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.