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
Grid Solutions Framework
Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.
Open Source Phasor Data Concentrator
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
'Phenesthe' (orig. φαίνεσθαι) is a system for the representation and processing of instantaneous and durative temporal phenomena.
A fault-tolerant Complex Event Processing engine designed for edge computing in Internet of Things systems.
Distributed stream processing layer
oPIEC: Online Event Recognition over Noisy Data Streams using the Event Calculus
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