Is at-ml safe to use?

at-ml has no known vulnerabilities on the latest version (0.1). DepScope rates its health at 0/100 (unknown risk).

What is the latest version of at-ml?

The latest version of at-ml is 0.1, released 2021-04-30.

Does at-ml have known vulnerabilities?

No known vulnerabilities on the latest version of at-ml.

No, at-ml is actively maintained. Latest release: 0.1 (2021-04-30).

What are alternatives to at-ml?

Popular alternatives to at-ml in PyPI include: boto3, packaging, certifi, urllib3, idna.

What license does at-ml use?

License information for at-ml is not declared in the registry metadata.

at-ml

pypiv0.1

A Toolbox for Adaptive Testing on Machine Learning Experiments

1 versions1 maintainers7 deps1 weekly dl

/ 100

Health

insufficient data

at-ml has limited data (2/6 signals) — verify manually before use

Limited information available for this package
Low health score (27/100)

Health breakdown0 – 100

0/25

maintenance

0/20

popularity

25/25

security

0/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (7)

numpy scipy scikit-learn matplotlib openml tensorflow pandas

API access

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