Is Aton Safe?
Aton — Nerq Trust Score 50.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Aton is a Python package with a Nerq Trust Score of 50.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Aton safe?
Trust Score Breakdown — Aton has a Nerq Trust Score of 50.2/100 (C-). Measured across 2 independent trust signals (as of 2026-03-25).
What is Aton's trust score?
Aton has a Nerq Trust Score of 50.2/100, 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 Aton?
Aton's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Aton and who maintains it?
| Author | Pablo Gila-Herranz |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Aton
What is Aton?
Aton is a Python package — The Advanced Text Operations for scieNtific python (ATON) provides powerful and comprehensive text-edition tools to edit and analyse simuation data..
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=aton
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Aton has a Nerq Trust Score of 50/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Aton has a Trust Score of 50/100 (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.