Is mlflow-skinny safe to use?

mlflow-skinny has no known vulnerabilities on the latest version (3.11.1). DepScope rates its health at 73/100 (moderate risk).

What is the latest version of mlflow-skinny?

The latest version of mlflow-skinny is 3.11.1, released 2026-04-08.

Does mlflow-skinny have known vulnerabilities?

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

Is mlflow-skinny deprecated?

No, mlflow-skinny is actively maintained. Latest release: 3.11.1 (2026-04-08).

What are alternatives to mlflow-skinny?

DepScope has no curated alternatives for mlflow-skinny at this time.

What license does mlflow-skinny use?

mlflow-skinny is licensed under Apache-2.0.

mlflow-skinny

condav3.11.1

MLflow is an open source platform for the machine learning lifecycle.

License Apache-2.0permissive98 versions1 maintainers0 deps8,189 weekly dl

mlflow/mlflow

/ 100

Health

safe to use

[email protected] is safe to use (health: 73/100)

Health breakdown0 – 100

25/25

maintenance

6/20

popularity

25/25

security

15/15

maturity

2/15

community

Vulnerabilities

none known

OSS Scorecard

OpenSSF security posture score

4.5/10

weak

Maintainer trust

Active maintainers (3m)

18

Contributors (12m)

18

Primary author dominance

23%

GitHub stars

25,599

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/conda/mlflow-skinny

First published · 2021-02-24 13:53:47.874000+00:00

Last updated · 2026-04-08 10:33:02.304000+00:00

mlflow-skinny

condav3.11.1

MLflow is an open source platform for the machine learning lifecycle.

License Apache-2.0permissive98 versions1 maintainers0 deps8,189 weekly dl

mlflow/mlflow

/ 100

Health

safe to use

[email protected] is safe to use (health: 73/100)

Health breakdown0 – 100

25/25

maintenance

6/20

popularity

25/25

security

15/15

maturity

2/15

community

Vulnerabilities

none known

OSS Scorecard

OpenSSF security posture score

4.5/10

weak

Maintainer trust

Active maintainers (3m)

18

Contributors (12m)

18

Primary author dominance

23%

GitHub stars

25,599

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/conda/mlflow-skinny

First published · 2021-02-24 13:53:47.874000+00:00

Last updated · 2026-04-08 10:33:02.304000+00:00