Building event-driven applications the easy way in Go.
- watermill
- event-driven
- event-sourcing
- sagas
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Building event-driven applications the easy way in Go.
Fancy stream processing made operationally mundane
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.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Kubernetes-native platform to run massively parallel data/streaming jobs
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
A lightweight stream processing library for Go
Stream Processing and Complex Event Processing Engine
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.