Is Apl Safe?
Apl — Nerq Trust Score 54.0/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Apl 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: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Apl safe?
Trust Score Breakdown — Apl has a Nerq Trust Score of 54.0/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Apl's trust score?
Apl 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 Apl?
Apl's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Apl and who maintains it?
| Author | Ahmad Draie |
| Category | Python Packages |
| Source | N/A |
Apl Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Apl
What is Apl?
Apl is a Python package — A library includes my important funcs.
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=APL
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Apl 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
- Apl 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
Is Apl Safe?
What is Apl's trust score?
What are safer alternatives to Apl?
Does Apl have known vulnerabilities?
Is Apl actively maintained?
Popular in Python Packages
Browse Categories
See Also
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.