LF Edge Sandbox project licensed under Apache 2.0 License.
Make faster decisions on the edge to understand events while they’re happening.
Booting footprint is less than 12MB for core feature set.
Run AI analytics immediately as new events emerged.
Easily deploy to thousands of edge nodes and manage them from the cloud.
Use SQL-based syntax or flow editor to compose your powerful analytic rules.
docker run -p 9081:9081 -d --name ekuiper -e MQTT_SOURCE__DEFAULT__SERVER=tcp://broker.emqx.io:1883 lfedge/ekuiper:latest
git clone https://github.com/lf-edge/ekuiper.git cd ekuiper make # Run the built binary cd _build/kuiper-1.6.0-linux-amd64 bin/kuiperd
Extraordinary low latency on edge by processing data near the producers.
Produce and consume any data from your loved data stack with sources and sinks.
ANSI SQL queries or flow editor for quick IoT data analytics. No Java or python codes are needed.
Create and alter your data analytics jobs in the flight with text-based rules.
Highly extensible for sources, sinks, and UDFs.
Integrate machine learning algorithms and run against streaming data.
eKuiper is deployed on the edge side and acts in the middle between edge and cloud applications for stream processing, rule engine, message routing, and more.Learn More →
eKuiper collaborates with EMQX to achieve data collection, vehicle AI and vehicle rule engine.Learn More →
By integrating with EdgeX Foundry, eKuiper can help users to process data of the connected devices and route the result or control the devices by rule.Learn More →
The integration of KubeEdge and eKuiper enables the containerized deployment of the eKuiper instance and provides versatile analytic capabilities on the edge components to achieve low latency calculation.Learn More →