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.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
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.
A network event stream processing system, in Clojure.
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
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
Stream Processing and Complex Event Processing Engine
Python Streaming DataFrames for Kafka
A compatibility layer for event-driven abstractions
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
.NET Stream Processing Library for Apache Kafka 🚀