Is Pytabkit Safe?
Pytabkit — 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: 2026-07-26.
Use Pytabkit with some caution. Pytabkit 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).
Is Pytabkit safe?
CAUTION — Pytabkit has a Nerq Trust Score of 62.2/100 (C+). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Pytabkit's trust score?
Pytabkit has a Nerq Trust Score of 62.2/100, 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 Pytabkit?
Pytabkit's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Pytabkit and who maintains it?
| Author | David Holzmüller, Léo Grinsztajn, Ingo Steinwart |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pytabkit
What is Pytabkit?
Pytabkit is a Python package — ML models + benchmark for tabular data classification and regression.
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=pytabkit
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Pytabkit 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
- Pytabkit has a Trust Score of 62/100 (C+).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.