ML Pipeline Orchestrator

A visual drag-and-drop pipeline builder for creating and managing ML workflows.

Features

• Visual editor - Drag and drop pipeline components
• Pre-built nodes - 50+ built-in ML operators
• Version control - Pipeline versioning and diff
• Auto-scaling - Automatic resource management

Quick Start

pip install ml-pipeline-orchestrator


Start the server
ml-pipeline-server --port 8080

Architecture

The platform uses a microservices architecture with:

• React frontend for the visual editor
• Python FastAPI backend
• Redis for task queue
• PostgreSQL for metadata storage