Is afm-tools safe to use?

afm-tools has no known vulnerabilities on the latest version (2.1.3). DepScope rates its health at 58/100 (high risk).

What is the latest version of afm-tools?

The latest version of afm-tools is 2.1.3, released 2026-04-26.

Does afm-tools have known vulnerabilities?

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

Is afm-tools deprecated?

No, afm-tools is actively maintained. Latest release: 2.1.3 (2026-04-26).

What are alternatives to afm-tools?

Popular alternatives to afm-tools in PyPI include: boto3, packaging, certifi, urllib3, idna.

What license does afm-tools use?

afm-tools is licensed under MIT.

afm-tools

pypiv2.1.3

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 MITpermissive7 versions1 maintainers16 deps

yig319/AFM-tools

/ 100

Health

safe to use

[email protected] is safe to use (health: 58/100)

Health breakdown0 – 100

25/25

maintenance

0/20

popularity

25/25

security

6/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (16)

numpy matplotlib sci-viz-utils scipy pandas xrayutilities igor imutils opencv-python plotly seaborn scikit-learn scikit-image setuptools;pytest;pytest-cov;

API access

Get this data programmatically — free, no authentication.

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

afm-tools

pypiv2.1.3

License MITpermissive7 versions1 maintainers16 deps

yig319/AFM-tools

/ 100

Health

safe to use

[email protected] is safe to use (health: 58/100)

Health breakdown0 – 100

25/25

maintenance

0/20

popularity

25/25

security

6/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (16)

numpy matplotlib sci-viz-utils scipy pandas xrayutilities igor imutils opencv-python plotly seaborn scikit-learn scikit-image setuptools;pytest;pytest-cov;

API access

Get this data programmatically — free, no authentication.

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