SeldonIO/seldon-server

Health v2 · maintenance only

Adoption not part of the score

1477 stars · 298 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Seldon Server is an open-source machine learning platform and recommendation engine that runs on Kubernetes, providing Predict and Recommend APIs for deploying supervised models and content-based recommendations at scale. The project is archived and no longer maintained; its successor is Seldon Core, which focuses purely on serving ML models in production.

Use cases

• deploy machine learning models to production on kubernetes
• build a content recommendation engine for my app
• serve tensorflow and xgboost models behind a rest api
• run a/b tests on recommendation algorithms
• set up real-time analytics dashboards for model predictions
• deploy ml microservices on aws or gcp

When to choose

• you need a full legacy ML platform with recommendation algorithms out of the box and can maintain it yourself
• you want the historical Seldon Server architecture as a reference

When to avoid

• you want active maintenance or support - the project is archived
• you only need model serving on Kubernetes - use Seldon Core instead
• you need modern Kubernetes-native ML deployment tooling

Facets

service · maturity abandoned

machine-learning deployment microservices api-framework monitoring message-queue machine-learning artificial-intelligence data-science cloud-computing microservices cloud self-hosted python jvm recommendation-engine model-serving prediction-api ab-testing grpc kafka-streams tensorflow archived superseded-by-seldon-core containers recommendation kubernetes docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="SeldonIO/seldon-server")