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Tags: Stream processing
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1–21 of 21 · Most stars

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

  • batch-processing
  • kafka
  • pathway
  • python

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.

Ruby and Rails efficient Kafka processing framework

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

Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.

Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.

A light-weight package for in-app micro batch processing

  • batch
  • batch-processing
  • event-processing
  • go