Is Pyhiveapi Safe?
Pyhiveapi — Nerq Trust Score 71.0/100 (B grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-07-26.
Yes, Pyhiveapi is safe to use. Pyhiveapi is a Python package with a Nerq Trust Score of 71.0/100 (B), based on 3 independent data dimensions. Recommended for production use. 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 Pyhiveapi safe?
YES — Pyhiveapi has a Nerq Trust Score of 71.0/100 (B). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
What is Pyhiveapi's trust score?
Pyhiveapi has a Nerq Trust Score of 71.0/100, earning a B grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Pyhiveapi?
Pyhiveapi's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Pyhiveapi and who maintains it?
| Author | Rendili |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Pyhiveapi
What is Pyhiveapi?
Pyhiveapi is a Python package — A Python library to interface with the Hive API.
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=pyhiveapi
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Pyhiveapi has a Nerq Trust Score of 71/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Pyhiveapi has a Trust Score of 71/100 (B).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
Is Pyhiveapi Safe?
What is Pyhiveapi's trust score?
What are safer alternatives to Pyhiveapi?
Does Pyhiveapi have known vulnerabilities?
Is Pyhiveapi actively maintained?
Popular in Python Packages
Browse Categories
See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.