Is Quantile Forest Safe?

Quantile Forest — Nerq Trust Score 62.2/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-07-28.

Use Quantile Forest with some caution. Quantile Forest is a Python package with a Nerq Trust Score of 62.2/100 (C+), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).

Safety Guide: Quantile Forest

What is Quantile Forest?

Quantile Forest is a Python package — Quantile regression forests compatible with scikit-learn..

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=quantile-forest

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Quantile Forest has a Nerq Trust Score of 62/100 (C+) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

• Quantile Forest has a Trust Score of 62/100 (C+).
• Review carefully before use — below trust threshold.
• Always verify independently using the Nerq API.

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.