Is Akid Safe?
Akid — Nerq Trust Score 49.0/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Akid is a Python package with a Nerq Trust Score of 49.0/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Akid safe?
Trust Score Breakdown — Akid has a Nerq Trust Score of 49.0/100 (D). Measured across 2 independent trust signals (as of 2026-03-20).
What is Akid's trust score?
Akid has a Nerq Trust Score of 49.0/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Akid?
Akid's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Akid and who maintains it?
| Author | Shuai Li |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Akid
What is Akid?
Akid is a Python package — A python package to study the theory of Deep Neural Networks.
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=akid
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Akid has a Nerq Trust Score of 49/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Akid has a Trust Score of 49/100 (D).
- 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.