Is Pvanalytics Safe?

Pvanalytics — Nerq Trust Score 62.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-01

Pvanalytics is a Python package with a Nerq Trust Score of 62.2/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-09-01 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-09-01. Machine-readable data (JSON).

Safety Guide: Pvanalytics

What is Pvanalytics?

Pvanalytics is a Python package — PVAnalytics is a python library for the analysis of photovoltaic system-level data..

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=pvanalytics

Key Safety Concerns for Python package

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

Measured Signals

Pvanalytics has a Nerq Trust Score of 62/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Pvanalytics has a Trust Score of 62/100 (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.