#160 · Primary category: MLOps & Evaluation

hopsworks

aws azure data-science feature-engineering feature-management feature-store gcp governance hopsworks kserve machine-learning ml mlops model-serving pyspark python serverless

Hopsworks - Data-Intensive AI platform with a Feature Store

Project last updated:02/10/25

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1.3K

Forks

160

Contributors

68

License

AGPL-3.0

Why we included this project

Hopsworks bundles a Python-first feature store, model registry, and model serving into one platform, so teams avoid wiring together separate tools to get from features to production. Its project-based multi-tenancy lets different teams share assets while keeping sensitive data isolated with fine-grained access controls. You can run it on your own hardware or in AWS, Azure, or GCP, and a single-command installer plus bundled tutorials for fraud, churn, and online prediction get you from zero to a working example quickly. It also plays well with existing stacks: if you're already on Databricks, SageMaker, or Kubeflow, you can add the feature store alongside them instead of replacing everything.

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