Distributed Stream and Batch Processing
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Updated
Dec 19, 2024 - Java
Distributed Stream and Batch Processing
Modern, open-source event-processing
Golang based Rules for Real-time Contextual Decisions
🎲 Casino Roulette 🎰 Analyzer and Predictor 🪙
Event Based Applications [DEPRECATED]
DuckDB extension for sending and receiving real-time messages through WebSocket and Redis Pub/Sub channels.
A framework for building spouts for Apache Storm and a Kafka based spout for dynamically skipping messages to be processed later.
Technical solution to implement event processing prioritization with Apache Kafke using the concept of buckets.
A streaming real-time event processor based on Riemann written in Node.js -- Streams2/3 edition
A light-weight package for in-app micro batch processing
An HTTP dashboard for Godot2.
A SIMD-accelerated, C++ rule engine, embeddable in pipelines. Evaluates declarative rules over event batches at memory-bandwidth speed
The Bootstrapping & Reliability Framework for Apache Flink. Fail fast on configuration, serialize natively without Kryo, and bootstrap stream pipelines with zero boilerplate.
The declarative runtime for AI agents, workflows, microservices, and event processing.
Apache Flink CEP: Automatic pattern generation and processing
A lightweight, command-line data-stream processing framework written in Rust
RoadSafety BC DataHub API. A series of Python components for handling and processing digital forms.
Coyote Data Exchange Toolkit - Mediate or Integrate Anything
Front-end framework for processing user interface events in TypeScript + undo/redo algorithms
The detection engine: correlation rules on the event stream you already forward, outside the SIEM. Sequences across hosts in log time, state that survives a crash. Rust, no JVM, embeddable.
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