polyaxon/mloperator
Machine learning operator & controller for Kubernetes
This project helps operations engineers and MLOps professionals manage and orchestrate machine learning workloads on Kubernetes. It takes your definitions for ML tasks like training, experiments, distributed training, or notebooks, and then sets up and monitors these processes within your Kubernetes clusters. This is for professionals who are responsible for deploying and managing the infrastructure and lifecycle of machine learning models.
Use this if you are an MLOps engineer or platform team building and managing an end-to-end machine learning platform on Kubernetes and need to standardize and automate your ML workflows.
Not ideal if you are an individual data scientist or researcher primarily focused on model development and experimentation, and not responsible for infrastructure orchestration.
Stars
94
Forks
8
Language
Go
License
Apache-2.0
Category
Last pushed
Jan 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/polyaxon/mloperator"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
skypilot-org/skypilot
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage...
dstackai/dstack
dstack is an open-source control plane for running development, training, and inference jobs on...
ray-project/kuberay
A toolkit to run Ray applications on Kubernetes
kubeflow/kale
Kubeflow’s superfood for Data Scientists
volcano-sh/volcano
A Cloud Native Batch System (Project under CNCF)