Is Argon2 Safe?
Argon2 — Nerq Trust Score 57.8/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Argon2 is a Python package with a Nerq Trust Score of 57.8/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Argon2 safe?
Trust Score Breakdown — Argon2 has a Nerq Trust Score of 57.8/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Argon2's trust score?
Argon2 has a Nerq Trust Score of 57.8/100, 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 Argon2?
Argon2's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Argon2 and who maintains it?
| Author | Ilya Moroz |
| Category | Python Packages |
| Source | N/A |
Argon2 Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Argon2
What is Argon2?
Argon2 is a Python package — Bindings for the argon2 password hasher.
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=argon2
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Argon2 has a Nerq Trust Score of 58/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Argon2 has a Trust Score of 58/100 (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.