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Tags: Stream processing
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1–24 of 26 · Most stars

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

  • batch-processing
  • kafka
  • pathway
  • python

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.

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.

Probabilistic data structures for processing continuous, unbounded streams.

  • bloom-filter
  • go
  • stable-bloom-filters
  • cuckoo-filter

🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications

.NET Stream Processing Library for Apache Kafka 🚀

  • kafka-streams-dotnet
  • kafka-streams
  • kafka-streams-net
  • kafka

Series and Panels for Real-time and Exploratory Analysis of Data Streams