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

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

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

  • flow
  • rust
  • rust-lang
  • stream

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

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.

Sliding-window and regular top-K sketches, based on HeavyKeeper

  • go
  • golang
  • heavy-hitters
  • probabilistic-data-structures

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

A general-purpose data analysis engine radically changing the way batch and stream data is processed