Is Allz Safe?
Allz — Nerq Trust Score 54.0/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Allz is a Python package with a Nerq Trust Score of 54.0/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Allz safe?
Trust Score Breakdown — Allz has a Nerq Trust Score of 54.0/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Allz's trust score?
Allz has a Nerq Trust Score of 54.0/100, 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 Allz?
Allz's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Allz and who maintains it?
| Author | opendatalab |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Allz
What is Allz?
Allz is a Python package — A universal command line tool for compression and decompression.
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=allz
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Allz has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Allz has a Trust Score of 54/100 (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.