Is Pprof Safe?
Pprof — Nerq Trust Score 78.5/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-24
Pprof is a npm package (pprof support for Node) with a Nerq Trust Score of 78.5/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-08-24 Security: 90/100. Popularity: 100/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-24. Machine-readable data (JSON).
Is Pprof safe?
Trust Score Breakdown — Pprof has a Nerq Trust Score of 78.5/100 (B+). Measured across 2 independent trust signals (as of 2026-08-24).
What is Pprof's trust score?
Pprof has a Nerq Trust Score of 78.5/100, 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 Pprof?
Pprof's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Pprof and who maintains it?
| Author | datadog |
| Category | npm Packages |
| Source | N/A |
Pprof Across Platforms
Same developer/company in other registries:
Similar Npm by Trust Score
Safety Guide: Pprof
What is Pprof?
Pprof is a Node.js package — pprof support for Node.js.
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=@datadog/pprof
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Pprof has a Nerq Trust Score of 78/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pprof has a Trust Score of 78/100 (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 | 70/100 |
| Community | 30/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Pprof collect?
Pprof is a Node.js package maintained by datadog. It receives approximately 12,112,542 weekly downloads. Licensed under Apache-2.0.
As a development package, Pprof 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: Pprof Privacy Report · Privacy review
Is Pprof secure?
Security score: 90/100. Pprof has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Apache-2.0, 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: Pprof Security Report
Pprof Across Platforms
Same developer/company in other registries:
How we calculated this score
Pprof's trust score of 78.5/100 (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 (70/100), 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 24, 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.