Stream Processing and Complex Event Processing Engine
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Complex Event Processing on top of Kafka Streams
Real time data processing system based on flink and CEP
Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.
Grid Solutions Framework
Open Source Phasor Data Concentrator
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.
Simple demo of some features of the Esper Complex Event Processing (CEP) engine.
An open source, cloud-native streaming data integration and analytics product optimized for agile digital businesses
opensource distributed database with base JPA implementation and event processing support
core fluxtion static event processor generator tool and runtime components
RTEC is an Event Calculus implementation optimised for stream reasoning
Stream Processing Library for Go
Distributed stream processing layer
Small and simple stream-based CEP tool for IoT devices connected to an MQTT broker
Complex event processing engine for time series data
oPIEC: Online Event Recognition over Noisy Data Streams using the Event Calculus
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