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LF Edge eKuiper - Lightweight data stream processing engine for IoT edge

LF Edge eKuiper is a lightweight IoT data analytics and stream processing engine running on resource-constraint edge devices. The major goal for eKuiper is to provide a streaming software framework (similar to Apache Flink) in edge side. eKuiper's rule engine allows user to provide either SQL-based or graph based (similar to Node-RED) rules to create IoT edge analytics applications within few minutes.

Features

Lightweight
- Core server package is only about 4.5M, memory footprint is about 10MB.
Cross-platform
- CPU Arch：X86 AMD 32/64; ARM 32/64; PPC
- Popular Linux distributions, OpenWrt Linux, MacOS and Docker
- Industrial PC, Raspberry Pi, industrial gateway, home gateway, MEC edge cloud server
Data analysis support
- Support data ETL
- Data order, group, aggregation and join with different data sources (the data from databases and files)
- 60+ functions, includes mathematical, string, aggregate and hash etc
- 4 time windows & count window
Highly extensible

It supports extending at Source, Functions and Sink with Golang or Python.

Source: allows users to add more data sources for analytics.
Sink: allows users to send the analysis result to different customized systems.
UDF functions: allow users to add customized functions for data analysis (for example, AI/ML function invocation)
Management
- A free web based management dashboard for visualized management
- Plugins, streams and rules management through CLI, REST API and config maps(Kubernetes)
- Easily be integrated with Kubernetes frameworks KubeEdge, OpenYurt, K3s Baetyl
Integration with EMQX products