Is Tar Safe?
Tar — Nerq Trust Score 75.5/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-07
Tar is a npm package (tar for node) with a Nerq Trust Score of 75.5/100 (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 Tar safe?
Trust Score Breakdown — Tar has a Nerq Trust Score of 75.5/100 (B+). Measured across 2 independent trust signals (as of 2026-09-07).
What is Tar's trust score?
Tar has a Nerq Trust Score of 75.5/100, 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 Tar?
Tar's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Tar and who maintains it?
| Author | isaacs |
| Category | npm Packages |
| Source | N/A |
Tar Across Platforms
Same developer/company in other registries:
Similar Npm by Trust Score
Safety Guide: Tar
What is Tar?
Tar is a Node.js package — tar for node.
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=tar
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Tar has a Nerq Trust Score of 76/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Tar has a Trust Score of 76/100 (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 | 90/100 |
| Popularity | 100/100 |
| Quality | 55/100 |
| Community | 30/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Tar collect?
Tar is a Node.js package maintained by isaacs. It receives approximately 54,406,201 weekly downloads. Licensed under BlueOak-1.0.0.
As a development package, Tar 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: Tar Privacy Report · Privacy review
Is Tar secure?
Security score: 90/100. Tar has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under BlueOak-1.0.0, 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: Tar Security Report
How we calculated this score
Tar's trust score of 75.5/100 (B+) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (90/100), popularity (100/100), quality (55/100), 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 September 07, 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.