domino-flows

What problem does it solve?

Domino Flows provides structured orchestration for ML pipelines, letting teams define DAG-based workflows with typed inputs/outputs, ensuring reproducibility, lineage, and scalable execution across heterogeneous environments.

Core Features & Use Cases

• DAG-based orchestration with typed interfaces and explicit data contracts.
• Heterogeneous environments for per-task tooling and dependencies.
• Automatic lineage tracking and reproducibility for audits and compliance.
• Use cases include end-to-end ML pipelines, multi-stage training workflows, ETL-like orchestrations, and monitoring.

Quick Start

Start a minimal pipeline by wiring two tasks, preprocess and train, and execute the workflow with sample inputs.