Is Strip Ansi Safe?
Strip Ansi — Nerq Trust Score 74.2/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-10
Strip Ansi is a npm package with a Nerq Trust Score of 74.2/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-08-10 Security: 90/100. Popularity: 100/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-10. Machine-readable data (JSON).
Is Strip Ansi safe?
Trust Score Breakdown — Strip Ansi has a Nerq Trust Score of 74.2/100 (B). Measured across 2 independent trust signals (as of 2026-08-10).
What is Strip Ansi's trust score?
Strip Ansi has a Nerq Trust Score of 74.2/100, 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 Strip Ansi?
Strip Ansi's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Strip Ansi and who maintains it?
| Author | sindresorhus |
| Category | npm Packages |
| Source | N/A |
Strip Ansi Across Platforms
Same developer/company in other registries:
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Safety Guide: Strip Ansi
What is Strip Ansi?
Strip Ansi is a Node.js package — Strip ANSI escape codes from a string.
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=strip-ansi
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Strip Ansi has a Nerq Trust Score of 74/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Strip Ansi has a Trust Score of 74/100 (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 | 80/100 |
| Community | 30/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Strip Ansi collect?
Strip Ansi is a Node.js package maintained by sindresorhus. It receives approximately 531,994,531 weekly downloads. Licensed under MIT.
As a development package, Strip Ansi 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: Strip Ansi Privacy Report · Privacy review
Is Strip Ansi secure?
Security score: 90/100. Strip Ansi 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: Strip Ansi Security Report
How we calculated this score
Strip Ansi's trust score of 74.2/100 (B) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (65/100), 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 10, 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.