Is sagemaker-mlflow safe to use?

sagemaker-mlflow has no known vulnerabilities on the latest version (0.5.0). DepScope rates its health at 68/100 (moderate risk).

What is the latest version of sagemaker-mlflow?

The latest version of sagemaker-mlflow is 0.5.0, released 2026-06-27.

Does sagemaker-mlflow have known vulnerabilities?

No known vulnerabilities on the latest version of sagemaker-mlflow.

Is sagemaker-mlflow deprecated?

No, sagemaker-mlflow is actively maintained. Latest release: 0.5.0 (2026-06-27).

What are alternatives to sagemaker-mlflow?

Popular alternatives to sagemaker-mlflow in PyPI include: pyyaml, pycparser, pydantic-core, pydantic_core, protobuf.

What license does sagemaker-mlflow use?

sagemaker-mlflow is licensed under Apache License 2.0.

sagemaker-mlflow

pypiv0.5.0

AWS Plugin for MLflow with SageMaker

License Apache License 2.0permissive7 versions1 maintainers16 deps451,802 weekly dl

aws/sagemaker-mlflow

/ 100

Health

use with caution

[email protected] low health (68/100) — consider alternatives

Moderate health score (68/100) — verify manually

Health breakdown0 – 100

20/25

maintenance

14/20

popularity

25/25

security

6/15

maturity

3/15

community

0/15

popularity_floor

Vulnerabilities

none known

Quality signals

Publish security

API token

Health History

Dependency Tree

License Audit

Dependencies (16)

boto3 mlflow-skinny mlflow boto3;coverage mlflow-skinny;pytest;pytest-cov;pytest-rerunfailures;pytest-timeout;pytest-xdist;moto;mlflow;packaging;pytest;moto;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/sagemaker-mlflow