SwimOS

About SwimOS

A framework for building real-time streaming data processing applications. SwimOS combines streaming data processing with a built-in state store and UI capabilities, enabling continuous intelligence applications that process and visualize data in real-time.

Key Features

• 1Streaming data platform built around continuously updated stateful agents
• 2Web Agents maintain live state and push updates to UI clients via WebSocket
• 3Swim WARP protocol for bidirectional streaming data links
• 4Federated data mesh across multiple Swim server nodes
• 5Built-in support for time-series aggregation and lane-based data routing

How Python Data Engineers Use SwimOS

Python data engineers use the SwimOS Python client to connect Python-based data sources and processors to a Swim server's Web Agents. A Python script continuously pushes sensor readings or processed pipeline metrics into Swim agents, which aggregate and stream the live state to connected dashboards via WebSocket — enabling real-time monitoring without a separate WebSocket server.