Is Analytics Python Safe?

Analytics Python — Nerq Trust Score 75.0/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20

Analytics Python is a Python package with a Nerq Trust Score of 75.0/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. 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 package

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

Measured Signals

Analytics Python has a Nerq Trust Score of 75/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Analytics Python has a Trust Score of 75/100 (B+).
• 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.