Repository Index

Building event-driven applications the easy way in Go.

• watermill
• event-driven
• event-sourcing
• sagas

Fancy stream processing made operationally mundane

• message-queue
• stream-processing
• streaming-data
• message-bus

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.

• java
• hazelcast
• in-memory
• big-data

The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL

• rust
• database
• sql
• streaming

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.

• asyncio
• kafka
• python
• rabbitmq

A network event stream processing system, in Clojure.

• riemann
• events
• clojure
• monitoring

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.

• clickhouse
• kakfa
• sql
• redpanda

Ruby and Rails efficient Kafka processing framework

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

A lightweight stream processing library for Go

• stream-processing
• pipeline
• etl
• kafka

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

• flow
• rust
• rust-lang
• stream

Streaming reactive and dataflow graphs in Python

• python
• python3
• stream
• data-pipeline