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

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.

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

Ruby and Rails efficient Kafka processing framework

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

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

A stream processing framework to build stateless applications on Kafka

  • kafka-streams
  • clojure
  • framework

Reactive queryable observable framework.

  • reactive
  • rx
  • qbservable
  • observable

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.

Simple yet powerful live data computation framework. C++ port of Scramjet framework.

  • event-stream
  • reactive-programming
  • stream
  • data-stream