What is AFM-Learn?
AFM-Learn is a pypi that A Python package for visualizing and analyzing Atomic Force Microscopy(AFM) and Piezoelectric Force Microscopy(PFM) experimental data, offering tools to process, visualize, and extract meaningful insi. It has a Nerq Trust Score of 56/100 (C). 0 GitHub stars. Published by Joshua C. Agar, Yichen Guo. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What AFM-Learn Does
AFM-Learn is a pypi in the pypi category. A Python package for visualizing and analyzing Atomic Force Microscopy(AFM) and Piezoelectric Force Microscopy(PFM) experimental data, offering tools to process, visualize, and extract meaningful insights from AFM images and measurements.. It is published by Joshua C. Agar, Yichen Guo and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use AFM-Learn
AFM-Learn is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Joshua C. Agar, Yichen Guo |
|---|---|
| Category | pypi |
| License | Not specified |
| Type | pypi |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=afm-learn
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.