Java Python Scala Shell Jupyter Notebook Makefile Other
Latest commit 689635a Oct 31, 2017 @gsunner gsunner version 1.4.10

Seldon Core

Seldon Core is a machine learning platform that helps your data science team deploy models into production.

It provides an open-source data science stack that runs within a Kubernetes Cluster. You can use Seldon to deploy machine learning and deep learning models into production on-premise or in the cloud (e.g. GCP, AWS, Azure).

Seldon supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim and any other model-building tool — it even supports models built with commercial tools and services where the model is exportable.

It includes an API with two key endpoints:

  1. Predict - Build and deploy supervised machine learning models created in any machine learning library or framework at scale using containers and microservices.
  2. Recommend - High-performance user activity and content based recommendation engine with various algorithms ready to run out of the box.

Other features include:

  • Complex dynamic algorithm configuration and combination with no downtime: run A/B and Multivariate tests, cascade algorithms and create ensembles.
  • Command Line Interface (CLI) for configuring and managing Seldon Core.
  • Secure OAuth 2.0 REST and gRPC APIs to streamline integration with your data and application.
  • Grafana dashboard for real-time analytics built with Kafka Streams, Fluentd and InfluxDB.

Seldon is used by some of the world's most innovative organisations — it's the perfect machine learning deployment platform for start-ups and can scale to meet the demands of large enterprises.

Get Started

It takes a few minutes to install Seldon on a Kubernertes cluster. Visit our install guide and read our tech docs.

Community & Support


Seldon is available under Apache Licence, Version 2.0