Is Analytics Python Safe?

Analytics Python — Nerq Trust Score 75.0/100 (B+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-02.

Yes, Analytics Python is safe to use. Analytics Python is a Python package with a Nerq Trust Score of 75.0/100 (B+), based on 3 independent data dimensions. It is recommended for production use. Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-02. Machine-readable data (JSON).

Analytics Python Across Platforms

Same developer/company in other registries:

Safety Guide: Analytics Python

What is Analytics Python?

Analytics Python is a Python package — The hassle-free way to integrate analytics into any python application..

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=analytics-python

Key Safety Concerns for Python packages

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

Trust Assessment

Analytics Python has a Nerq Trust Score of 75/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

• Analytics Python has a Trust Score of 75/100 (B+).
• Recommended for use — passes 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.