Kubeflow

KubeFlow came from a Google internal project, which focused on Kubernettes integration for TensorFlow. It is strong on streamline the workflow and weak on ML model lifecyle, artifacts, and metadata supports, which are essential to MLOps.

Logo

../_images/kubeflow_kubeflow-small.png

Website

N/A

Repository

https://github.com/kubeflow/kubeflow

Byline

The Machine Learning Toolkit for Kubernetes

License

Apache 2.0

Project age

4 years 4 months

Backers

Google (Governed by)

Lastest News (2022-03-10)

v1.5.0 Kubeflow v1.5 improves ML model accuracy, reduces infrastructure costs and optimizes MLOps more

Size score (1 to 10, higher is better)

7.75

Trend score (1 to 10, higher is better)

3.5

Education Resources

No recent documentation available for project.

Git Commit Statistics

Statistics computed using Git data through March 31, 2022.

Statistic

Lifetime

Last 12 Months

Commits

18,025

1,413

Lines committed

45,718,572

2,573,024

Unique committers

267

33

Core committers

12

3

../_images/kubeflow_kubeflow-monthly-commits.png

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