Is Picocolors Safe?
Picocolors — Nerq Trust Score 70.5/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-17
Picocolors is a npm package with a Nerq Trust Score of 70.5/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-08-17 Security: 90/100. Popularity: 100/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-17. Machine-readable data (JSON).
Is Picocolors safe?
Trust Score Breakdown — Picocolors has a Nerq Trust Score of 70.5/100 (B). Measured across 2 independent trust signals (as of 2026-08-17).
What is Picocolors's trust score?
Picocolors has a Nerq Trust Score of 70.5/100, 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 Picocolors?
Picocolors's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Picocolors and who maintains it?
| Author | alexeyraspopov |
| Category | npm Packages |
| Source | N/A |
Picocolors Across Platforms
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Safety Guide: Picocolors
What is Picocolors?
Picocolors is a Node.js package — The tiniest and the fastest library for terminal output formatting with ANSI colors.
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=picocolors
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Picocolors has a Nerq Trust Score of 70/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Picocolors has a Trust Score of 70/100 (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 | 50/100 |
| Popularity | 100/100 |
| Quality | 80/100 |
| Community | 30/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Picocolors collect?
Picocolors is a Node.js package maintained by alexeyraspopov. It receives approximately 67,940,169 weekly downloads. Licensed under ISC.
As a development package, Picocolors 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: Picocolors Privacy Report · Privacy review
Is Picocolors secure?
Security score: 90/100. Picocolors has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under ISC, 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: Picocolors Security Report
How we calculated this score
Picocolors's trust score of 70.5/100 (B) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (50/100), popularity (100/100), quality (80/100), community (30/100). 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 August 17, 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.