Is afm-learn safe to use?

afm-learn has no known vulnerabilities on the latest version (0.10.0). DepScope rates its health at 46/100 (high risk).

What is the latest version of afm-learn?

The latest version of afm-learn is 0.10.0, released 2025-02-19.

Does afm-learn have known vulnerabilities?

No known vulnerabilities on the latest version of afm-learn.

Is afm-learn deprecated?

No, afm-learn is actively maintained. Latest release: 0.10.0 (2025-02-19).

What are alternatives to afm-learn?

Popular alternatives to afm-learn in PyPI include: typing_extensions, requests, charset_normalizer, setuptools, six.

What license does afm-learn use?

afm-learn is licensed under MIT.

afm-learn

pypiv0.10.0

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.

License MITpermissive12 versions1 maintainers13 deps12 weekly dl

pyscaffold/pyscaffold/

/ 100

Health

safe to use

[email protected] is safe to use (health: 46/100)

Health breakdown0 – 100

5/25

maintenance

0/20

popularity

25/25

security

9/15

maturity

7/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (13)

numpy matplotlib scipy pandas xrayutilities igor imutils opencv-python plotly seaborn setuptools;pytest;pytest-cov;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/afm-learn