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 |
|
|---|---|
Website |
N/A |
Repository |
|
Byline |
The Machine Learning Toolkit for Kubernetes |
License |
Apache 2.0 |
Project age |
5 years |
Backers |
|
Lastest News (2022-09-07) |
v1.6.0 The Kubeflow Community is excited to announce the availability of the Kubeflow v1.6 software release, which includes support for … more |
Size score (1 to 10, higher is better) |
7.5 |
Trend score (1 to 10, higher is better) |
4.0 |
Education Resources¶
No recent documentation available for project.
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
26,383 |
1,813 |
Lines committed |
62,496,353 |
598,718 |
Unique committers |
299 |
48 |
Core committers |
12 |
11 |
Similar Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
9.25 |
8.5 |
An open source platform for the machine learning lifecycle |
|
4.25 |
5.75 |
Build and manage real-life data science projects with ease |
|
7.0 |
3.5 |
Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation) |
|
5.75 |
7.0 |
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models |