Seldon provides a set of tools for deploying machine learning models at scale.

• Deploy machine learning models in the cloud or on-premise.

• Get metrics and ensure proper governance and compliance for your running machine learning models

Projects & Products

Seldon Core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

• Seldon Core on GitHub

• Seldon Core Technical Documentation

Alibi Explain

Algorithms for AI Explainability for machine learning models

• alibi on Github

• alibi Documentation

Alibi Detect

Algorithms for outlier detection, concept drift and metrics

• alibi-detect on Github

• alibi-detect Documentation

Tempo

MLOps SDK for accelerating data science experimentation with Seldon Core and KFserving

• Tempo on Github

• Tempo Documentation

MLServer

High performance ayncio machine learning model server for Seldon and KFserving

• MLServer on Github

• MLServer Documentation

Seldon Deploy

Enterprise platform that introduces advanced management, monitoring and explainability to open source stack

• Seldon Deploy Documentation

• Seldon Deploy Trial Overview

Seldon Deploy SDK

Enterprise SDK that provides a Pythonic way to interact with the Seldon Deploy Enterprise API

• Seldon Deploy SDK on Github