Is Turboquant Py Safe?

Turboquant Py — Nerq Trust Score 57.2/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-11-01

Turboquant Py is a Python package with a Nerq Trust Score of 57.2/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-11-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-11-01. Machine-readable data (JSON).

Safety Guide: Turboquant Py

What is Turboquant Py?

Turboquant Py is a Python package — Python implementation of the TurboQuant and QJL vector quantization algorithms.

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=turboquant-py

Key Safety Concerns for Python package

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

Measured Signals

Turboquant Py has a Nerq Trust Score of 57/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Turboquant Py has a Trust Score of 57/100 (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.

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.