# seldon-server **Repository Path**: mirrors_SeldonIO/seldon-server ## Basic Information - **Project Name**: seldon-server - **Description**: Machine Learning Platform and Recommendation Engine built on Kubernetes - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-01-07 - **Last Updated**: 2026-04-20 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # **Update January 2018** * [Seldon Core open sourced](https://github.com/SeldonIO/seldon-core). * Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. Please have a look at the [project page](https://github.com/SeldonIO/seldon-core) which includes extensive documentation to investigate further. # Seldon Server : * * Archived * * **This project is not actively maintained anymore please see** [Seldon Core](https://github.com/SeldonIO/seldon-core). Seldon Server 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](http://kubernetes.io/) Cluster. You can use Seldon to deploy machine learning and deep learning models into production on-premise or in the cloud (e.g. [GCP](http://docs.seldon.io/kubernetes-google-cloud.html), 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](http://docs.seldon.io/prediction-guide.html)** - Build and deploy supervised machine learning models created in any machine learning library or framework at scale using containers and [microservices](http://docs.seldon.io/api-microservices.html). 2. **[Recommend](http://docs.seldon.io/content-recommendation-guide.html)** - 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](http://docs.seldon.io/advanced-recommender-config.html) with no downtime: run A/B and Multivariate tests, cascade algorithms and create ensembles. - Command Line Interface ([CLI](http://docs.seldon.io/seldon-cli.html)) for configuring and managing Seldon Server. - Secure OAuth 2.0 REST and [gRPC](http://docs.seldon.io/grpc.html) APIs to streamline integration with your data and application. - Grafana dashboard for [real-time analytics](http://docs.seldon.io/analytics.html) 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 Kubernetes cluster. Visit our [install guide](http://docs.seldon.io/install.html) and read our [tech docs](http://docs.seldon.io). ## Community & Support * Join the [Seldon Users Group](https://groups.google.com/forum/#!forum/seldon-users). * [Register for our newsletter](http://eepurl.com/6X6n1) to be the first to receive updates about our products and events. * Visit [our website](https://www.seldon.io/), follow [@seldon_io](https://twitter.com/seldon_io) on Twitter and like [our Facebook page](https://www.facebook.com/seldonhq/). * If you're in London, meet us at [TensorFlow London](https://www.meetup.com/TensorFlow-London/) - a community of over 1200 data scientists that we co-organise. * We also offer [commercial support plans and managed services](https://www.seldon.io/enterprise/). ## License Seldon is available under [Apache Licence, Version 2.0](https://github.com/SeldonIO/seldon-server/blob/master/README.md)