Is Aidk Safe?
Aidk — Nerq Trust Score 46.5/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Aidk is a Python package with a Nerq Trust Score of 46.5/100 (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 Aidk safe?
Trust Score Breakdown — Aidk has a Nerq Trust Score of 46.5/100 (D). Measured across 2 independent trust signals (as of 2026-03-20).
What is Aidk's trust score?
Aidk has a Nerq Trust Score of 46.5/100, 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 Aidk?
Aidk's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Aidk and who maintains it?
| Author | INTEL AIA BDF |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Aidk
What is Aidk?
Aidk is a Python package — A smart AI democratization kit.
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=AIDK
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Aidk has a Nerq Trust Score of 46/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Aidk has a Trust Score of 46/100 (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
Is Aidk Safe?
What is Aidk's trust score?
What are safer alternatives to Aidk?
Does Aidk have known vulnerabilities?
Is Aidk actively maintained?
Popular in Python Packages
Browse Categories
See Also
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.