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Tag: Stream processing
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

  • batch-processing
  • kafka
  • pathway
  • python

Apache Beam is a unified programming model for Batch and Streaming data processing.

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.

Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.

  • flogo
  • iot
  • integration
  • golang

Compositional, streaming I/O library for Scala

  • scala
  • stream
  • streaming-computation
  • fp

The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.

Ruby and Rails efficient Kafka processing framework

  • karafka-framework
  • kafka
  • kafka-client
  • kafka-clients