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.
Simple demo of some features of the Esper Complex Event Processing (CEP) engine.
RTEC is an Event Calculus implementation optimised for stream reasoning
core fluxtion static event processor generator tool and runtime components
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.
Distributed stream processing layer
Complex event processing engine for time series data
Add a description, image, and links to the complex-event-processing topic page so that developers can more easily learn about it.
To associate your repository with the complex-event-processing topic, visit your repo's landing page and select "manage topics."