Is attention-and-transformers safe to use?

attention-and-transformers has no known vulnerabilities on the latest version (0.0.15). DepScope rates its health at 33/100 (critical risk).

What is the latest version of attention-and-transformers?

The latest version of attention-and-transformers is 0.0.15, released 2022-12-17.

Does attention-and-transformers have known vulnerabilities?

No known vulnerabilities on the latest version of attention-and-transformers.

Is attention-and-transformers deprecated?

No, attention-and-transformers is actively maintained. Latest release: 0.0.15 (2022-12-17).

What are alternatives to attention-and-transformers?

Popular alternatives to attention-and-transformers in PyPI include: boto3, packaging, certifi, urllib3, idna.

What license does attention-and-transformers use?

attention-and-transformers is licensed under Apache 2.0.

attention-and-transformers

pypiv0.0.15

Building attention mechanisms and Transformer models from scratch. Alias ATF.

License Apache 2.0permissive8 versions1 maintainers11 deps9 weekly dl

veb-101/Attention-and-Transformers

/ 100

Health

use with caution

[email protected] low health (33/100) — consider alternatives

Moderate health score (33/100) — verify manually

Health breakdown0 – 100

0/25

maintenance

0/20

popularity

25/25

security

6/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (11)

tensorflow-datasets livelossplot Pillow opencv-contrib-python pandas scikit-learn matplotlib scikit-image tensorflow-addons tensorflow tensorflow-macos

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/attention-and-transformers