Is Alphanet Safe?
Alphanet — Nerq Trust Score 59.2/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Alphanet is a Python package with a Nerq Trust Score of 59.2/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Alphanet safe?
Trust Score Breakdown — Alphanet has a Nerq Trust Score of 59.2/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Alphanet's trust score?
Alphanet has a Nerq Trust Score of 59.2/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Alphanet?
Alphanet's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Alphanet and who maintains it?
| Author | Congyu Wang |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Alphanet
What is Alphanet?
Alphanet is a Python package — A recurrent neural network for predicting stock market performance.
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=alphanet
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Alphanet has a Nerq Trust Score of 59/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Alphanet has a Trust Score of 59/100 (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.
Frequently Asked Questions
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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.