Is mlflow-jfrog-plugin safe to use?

mlflow-jfrog-plugin has no known vulnerabilities on the latest version (1.0.2). DepScope rates its health at 48/100 (high risk).

What is the latest version of mlflow-jfrog-plugin?

The latest version of mlflow-jfrog-plugin is 1.0.2, released 2025-12-02.

No known vulnerabilities on the latest version of mlflow-jfrog-plugin.

No, mlflow-jfrog-plugin is actively maintained. Latest release: 1.0.2 (2025-12-02).

Popular alternatives to mlflow-jfrog-plugin in PyPI include: typing_extensions, requests, charset_normalizer, six, pydantic.

mlflow-jfrog-plugin is licensed under Apache License 2.0.

pypiv1.0.2

Plugin to store MLFlow experiments artifacts on JFrog Artifactory

License Apache License 2.0permissive3 versions1 maintainers2 deps959 weekly dl

/ 100

Health

safe to use

[email protected] is safe to use (health: 48/100)

Health breakdown0 – 100

15/25

maintenance

3/20

popularity

25/25

security

3/15

maturity

2/15

community

Vulnerabilities

none known

Dependencies (2)

API access

Get this data programmatically — free, no authentication.

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