Is Autofeat Safe?
Autofeat — Nerq Trust Score 64.8/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Autofeat is a Python package with a Nerq Trust Score of 64.8/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Autofeat safe?
Trust Score Breakdown — Autofeat has a Nerq Trust Score of 64.8/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Autofeat's trust score?
Autofeat has a Nerq Trust Score of 64.8/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Autofeat?
Autofeat's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Autofeat and who maintains it?
| Author | Franziska Horn |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Autofeat
What is Autofeat?
Autofeat is a Python package — Automatic Feature Engineering and Selection Linear Prediction Model.
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=autofeat
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Autofeat has a Nerq Trust Score of 65/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Autofeat has a Trust Score of 65/100 (C+).
- 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.