Is akida-models safe to use?

akida-models has no known vulnerabilities on the latest version (1.14.0). DepScope rates its health at 70/100 (moderate risk).

What is the latest version of akida-models?

The latest version of akida-models is 1.14.0, released 2026-04-27.

Does akida-models have known vulnerabilities?

No known vulnerabilities on the latest version of akida-models.

Is akida-models deprecated?

No, akida-models is actively maintained. Latest release: 1.14.0 (2026-04-27).

What are alternatives to akida-models?

Popular alternatives to akida-models in PyPI include: boto3, packaging, urllib3, certifi, idna.

What license does akida-models use?

akida-models is licensed under Apache 2.0.

akida-models

pypiv1.14.0

Akida Models

License Apache 2.0permissive55 versions1 maintainers16 deps293 weekly dl

/ 100

Health

safe to use

[email protected] is safe to use (health: 70/100)

Health breakdown0 – 100

25/25

maintenance

3/20

popularity

25/25

security

15/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (16)

cnn2snn~quantizeml~scipy opencv-python mtcnn imaug trimesh tqdm tensorflow-datasets librosa soundata pydub importlib_resources pytest;pytest-rerunfailures;pytest-xdist;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/akida-models

akida-models

pypiv1.14.0

Akida Models

License Apache 2.0permissive55 versions1 maintainers16 deps293 weekly dl

/ 100

Health

safe to use

[email protected] is safe to use (health: 70/100)

Health breakdown0 – 100

25/25

maintenance

3/20

popularity

25/25

security

15/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (16)

cnn2snn~quantizeml~scipy opencv-python mtcnn imaug trimesh tqdm tensorflow-datasets librosa soundata pydub importlib_resources pytest;pytest-rerunfailures;pytest-xdist;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/akida-models