Experiment Tracking & Versioning

End-to-end open platform for the ML/LLM lifecycle.

Git-like versioning for data and models.

Open-source platform for experiment tracking, orchestration, data management, and model serving.

Open-source tracing and experiment tracking.

Self-hosted ML experiment tracker designed to handle 10,000s of training runs with performant UI and SDK for programmatic access. Apache 2.0 licensed.

Open source feature store for ML. Manages offline/online feature storage with point-in-time correctness to prevent data leakage. Apache 2.0 licensed.

Open standard for lineage metadata collection designed to instrument jobs as they run. Defines a generic model of run, job, and dataset entities for consistent data lineage tracking. Apache 2.0 licensed.

LF AI & Data Foundation Graduated project for metadata collection, aggregation, and visualization. Maintains provenance of how datasets are consumed and produced with global visibility into job runtime and dataset lifecycle management. Integrates with OpenLineage. Apache 2.0 licensed.