Is Py4J Safe?
Py4J — Nerq Trust Score 72.2/100 (B grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-07-29.
Yes, Py4J is safe to use. Py4J is a Python package with a Nerq Trust Score of 72.2/100 (B), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-28. Machine-readable data (JSON).
Is Py4J safe?
YES — Py4J has a Nerq Trust Score of 72.2/100 (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 Py4J's trust score?
Py4J has a Nerq Trust Score of 72.2/100, 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 Py4J?
Py4J's strongest signal is popularity at 100/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Py4J and who maintains it?
| Author | Barthelemy Dagenais |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Py4J
What is Py4J?
Py4J is a Python package — Enables Python programs to dynamically access arbitrary Java objects.
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=py4j
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Py4J has a Nerq Trust Score of 72/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Py4J has a Trust Score of 72/100 (B).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.