SeldonIO/seldon-server
Machine Learning Platform and Recommendation Engine built on Kubernetes
Seldon Server helps data science teams move their trained machine learning models from development into live production environments. It takes models built with various tools, deploys them, and provides prediction or recommendation outputs to end-users at scale. This is for data scientists, machine learning engineers, and operations teams managing AI deployments.
1,477 stars. No commits in the last 6 months.
Use this if you need to deploy diverse machine learning models, including recommendation engines, into a production Kubernetes environment and manage them with features like A/B testing and real-time analytics.
Not ideal if you are looking for an actively maintained project, as this version has been archived in favor of Seldon Core.
Stars
1,477
Forks
301
Language
Java
License
Apache-2.0
Category
Last pushed
Apr 12, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/SeldonIO/seldon-server"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
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)