Is Causal Testing Framework Safe?

Causal Testing Framework — Nerq Trust Score 66.5/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-15.

Use Causal Testing Framework with some caution. Causal Testing Framework is a Python package with a Nerq Trust Score of 66.5/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-15. Machine-readable data (JSON).

Safety Guide: Causal Testing Framework

What is Causal Testing Framework?

Causal Testing Framework is a Python package — A framework for causal testing using causal directed acyclic graphs..

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=causal-testing-framework

Key Safety Concerns for Python package

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

Trust Assessment

Causal Testing Framework has a Nerq Trust Score of 66/100 (B-) 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

• Causal Testing Framework has a Trust Score of 66/100 (B-).
• 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.