Is Rfpimp Safe?
Rfpimp — Nerq Trust Score 65.0/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01
Rfpimp is a Python package with a Nerq Trust Score of 65.0/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).
Is Rfpimp safe?
Trust Score Breakdown — Rfpimp has a Nerq Trust Score of 65.0/100 (B-). Measured across 2 independent trust signals (as of 2026-11-01).
What is Rfpimp's trust score?
Rfpimp has a Nerq Trust Score of 65.0/100, 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 Rfpimp?
Rfpimp's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Rfpimp and who maintains it?
| Author | Terence Parr, Kerem Turgutlu |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Rfpimp
What is Rfpimp?
Rfpimp is a Python package — Permutation and drop-column importance for scikit-learn random forests and other models.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=rfpimp
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Rfpimp has a Nerq Trust Score of 65/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Rfpimp has a Trust Score of 65/100 (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.
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.