Stream Processing and Complex Event Processing Engine

Esper Complex Event Processing, Streaming SQL and Event Series Analysis

Modern, open-source event-processing

Complex Event Processing on top of Kafka Streams

Real time data processing system based on flink and CEP

graph based stream processing framework

Grid Solutions Framework

Open Source Phasor Data Concentrator

Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.

Complex event processing in Erlang

An open source, cloud-native streaming data integration and analytics product optimized for agile digital businesses

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

RTEC is an Event Calculus implementation optimised for stream reasoning

Simple demo of some features of the Esper Complex Event Processing (CEP) engine.

opensource distributed database with base JPA implementation and event processing support

Stream processing library in Go

Rust-native, pattern-first stream processing engine (CEP): filters, joins, enrichment, windows—low latency on-prem & Kubernetes.

An overview of Complex Event Processing Systems

'Phenesthe' (orig. φαίνεσθαι) is a system for the representation and processing of instantaneous and durative temporal phenomena.

oPIEC: Online Event Recognition over Noisy Data Streams using the Event Calculus