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Tags: Stream processing
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1–22 of 22 · Most stars

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.

A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications

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

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

Reactive queryable observable framework.

  • reactive
  • rx
  • qbservable
  • observable

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.

Create a data stream across your information systems to query, augment and transform data according to Elixir matching rules.