Is Argos Safe?
Argos — Nerq Trust Score 56.5/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Argos is a Python package with a Nerq Trust Score of 56.5/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Argos safe?
Trust Score Breakdown — Argos has a Nerq Trust Score of 56.5/100 (C). Measured across 2 independent trust signals (as of 2026-03-21).
What is Argos's trust score?
Argos has a Nerq Trust Score of 56.5/100, 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 Argos?
Argos's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Argos and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Argos Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Argos
What is Argos?
Argos is a Python package — Data inspector for HDF5, NetCDF4 and other file formats..
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=argos
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Argos has a Nerq Trust Score of 56/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Argos has a Trust Score of 56/100 (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
Is Argos Safe?
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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.