Introduction

Overview

eKuiper Manager is the first fully open-source web interface and management platform designed specifically for LF Edge eKuiper, the lightweight IoT data analytics and stream processing engine.

While eKuiper provides a powerful engine for processing data at the edge, management has historically relied on proprietary or closed-source tools. eKuiper Manager fills this gap by providing a community-driven, extensible, and reliable dashboard to manage streams, rules, and plugins with ease.

Why eKuiper Manager?

This project was born out of a need for a transparent and reliable management tool for the eKuiper ecosystem. Key advantages include:

100% Open Source: Built with Next.js and TypeScript, allowing the community to inspect, modify, and extend the platform.
Built for Reliability: Designed to replace buggy proprietary alternatives with a focus on stable rule management and real-time monitoring.
AI-Native Operations: Integrates advanced AI assistants to help technicians generate rules, analyze stream logic, and troubleshoot system bottlenecks.

Core Capabilities

1. Visual Stream & Rule Management

Easily create, monitor, and manage the lifecycle of your eKuiper resources.

Rule Topology: View a visual graph of your data flow, from sources through operators to sinks.
Query Plan Visualization: Understand how eKuiper executes your SQL queries with detailed execution plans and performance hints.
Stream Management: Define data sources (MQTT, HTTP, SQL, etc.) and inspect schemas through a user-friendly interface.

2. Advanced Debugging & Tracing

Debug edge processing logic in real-time without digging through system logs.

Rule Tracing: Capture live data flows with span hierarchies to see exactly how messages are transformed at each step.
Interactive Swagger UI: Access a complete API playground with over 70 endpoints to interact directly with your eKuiper instances.

3. AI-Powered Assistant

Leveraging OpenRouter, the manager includes a "Master AI" capable of:

Rule & Stream Generation: Describe your requirements in plain English (e.g., "Filter temperature above 50 degrees from MQTT and send to SQL") to generate valid SQL and configurations.
Automated Analysis: Get plain-English explanations of complex execution plans or rule logic.
Smart Troubleshooting: The AI can analyze live trace data and metrics to identify why rules are failing or where bottlenecks exist.

Feature Status

Getting Started

To begin managing your edge nodes, you can connect the manager to any running eKuiper instance. The manager supports both browser-based local storage for configurations and server-side SQLite persistence for more permanent setups.

For developers looking to interact with the manager programmatically, the platform exposes a comprehensive API suite under /api/ai/ for AI-enhanced operations and /api/connections/ for managing multiple eKuiper instances.