Is Act Atmos Safe?
Act Atmos — Nerq Trust Score 67.5/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Act Atmos is a Python package with a Nerq Trust Score of 67.5/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Act Atmos safe?
Trust Score Breakdown — Act Atmos has a Nerq Trust Score of 67.5/100 (B-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Act Atmos's trust score?
Act Atmos has a Nerq Trust Score of 67.5/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Act Atmos?
Act Atmos's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Act Atmos and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Act Atmos
What is Act Atmos?
Act Atmos is a Python package — Package for working with atmospheric time series datasets.
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=act-atmos
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Act Atmos has a Nerq Trust Score of 68/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Act Atmos has a Trust Score of 68/100 (B-).
- 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.