This month, the eKuiper team is focusing on developing v1.4.0, aiming to release the version in early December officially.

This article will use the script and timing function of MQTT X to simulate temperature and humidity data reporting, and combine with EMQX Edge to verify Kuiper's stream processing function.

In this tutorial, we walk you through building a customized Kuiper plugin to leverage a pre-trained TensorFlowLite model.

Kuiper 0.9.1 provides a management console, which can be used for Kuiper node management, stream, rule and plugin visualize edit. It greatly improves the using experience.

Kuiper 0.9.0 includes the stream state management, KubeEdge device model adoption, EdgeX array type support and TDengine database sink support.

We will use Raspberry Pi + (EMQX Edge & Kuiper) to build a private smart home hub for implementing the edge computing of device data and reducing leaking the home data.

This article will introduce how to use the data template in the sink to achieve "secondary processing" of the analysis results.

Kuiper 0.5.0 added count window which can be used for window analysis based on count, and more JSON functions support.

Kuiper 0.4.1 supports modifying EdgeX MQTT message bus configurations via Docker environment variables, supports plugin multi-instances and http_pull source.

This article describes how to use the EMQX Kuiper rules engine and how to implement controlling IoT devices according to the analysis result.

In EdgeX Geneva, EMQX Kuiper - an SQL based rule engine is integrated with EdgeX. The tutorial introduces how to use Kuiper to process the data from EdgeX.

Kuiper 0.4.0 now has the capability of supporting more complex plugin; Support template feature for all sinks, so users can customize complex output data.