Is Aisnake Safe?
Aisnake — Nerq Trust Score 49.0/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Aisnake 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 Aisnake safe?
Trust Score Breakdown — Aisnake has a Nerq Trust Score of 49.0/100 (D). Measured across 2 independent trust signals (as of 2026-03-20).
What is Aisnake's trust score?
Aisnake 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 Aisnake?
Aisnake's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Aisnake and who maintains it?
| Author | K. Mohammed Imran |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Aisnake
What is Aisnake?
Aisnake is a Python package — A beginner-friendly programming language focused on AI..
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=AiSnake
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Aisnake 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
- Aisnake 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.