Hopsworks

Overview

Hopsworks is an open-source data-intensive AI platform that includes a feature store for managing, sharing, and reusing machine learning features. It is built in Java and offers observability capabilities for monitoring ML pipelines and feature pipelines.

Best for

Best for
Teams building production ML systems that need a shared feature store with monitoring and governance

Use cases

• Centralizing feature engineering across ML teams
• Monitoring data drift and feature freshness in production
• Orchestrating end-to-end ML pipelines with lineage tracking

Notes

Hopsworks is an open-source data-intensive AI platform that includes a feature store for managing, sharing, and reusing machine learning features. It is built in Java and offers observability capabilities for monitoring ML pipelines and feature pipelines.

1,299 stars on GitHub. Last updated 2025-02-10. Licensed AGPL-3.0.

Use cases

• Centralizing feature engineering across ML teams
• Monitoring data drift and feature freshness in production
• Orchestrating end-to-end ML pipelines with lineage tracking

Pros

• Open-source with strong community backing (1.3k stars)
• Unified feature store and observability in one platform
• Reduces duplicate feature engineering work across teams

Cons

• Java codebase may require JVM expertise for deep customization
• Setup and operational complexity for smaller teams
• Documentation can be sparse for advanced observability features

Indexed from awesome-llmops and enriched against its public facts.