SeldonIO/seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
This framework helps machine learning engineers and MLOps teams take their trained AI models and complex AI applications and get them running reliably and at scale for real-world use. It takes your pre-built machine learning models, whether singular or chained together in pipelines, and deploys them to production environments. The output is a robust, scalable, and manageable AI system that can handle live data and user requests.
4,733 stars.
Use this if you are an MLOps engineer or team needing to deploy, manage, and scale machine learning models and AI applications on Kubernetes, ensuring they perform well and efficiently.
Not ideal if you are a data scientist primarily focused on model training and experimentation rather than the operational deployment and management of AI systems.
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862
Language
Go
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Last pushed
Mar 09, 2026
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