Is mljar-supervised safe to use?

mljar-supervised has no known vulnerabilities on the latest version (1.2.2). DepScope rates its health at 68/100 (moderate risk).

What is the latest version of mljar-supervised?

The latest version of mljar-supervised is 1.2.2, released 2026-03-26.

Does mljar-supervised have known vulnerabilities?

No known vulnerabilities on the latest version of mljar-supervised.

Is mljar-supervised deprecated?

No, mljar-supervised is actively maintained. Latest release: 1.2.2 (2026-03-26).

What are alternatives to mljar-supervised?

Popular alternatives to mljar-supervised in PyPI include: boto3, packaging, idna, urllib3, requests.

What license does mljar-supervised use?

mljar-supervised is licensed under MIT.

mljar-supervised

pypiv1.2.2

Automated Machine Learning for Humans

License MITpermissive104 versions1 maintainers18 deps1,535 weekly dl

mljar/mljar-supervised

/ 100

Health

safe to use

[email protected] is safe to use (health: 68/100)

Health breakdown0 – 100

20/25

maintenance

6/20

popularity

25/25

security

15/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (18)

numpy pandas scipy scikit-learn xgboost lightgbm catboost joblib tabulate matplotlib dtreeviz shap seaborn optuna-integration mljar-scikit-plot markdown typing-extensions ipython

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/mljar-supervised