Building event-driven applications the easy way in Go.
- watermill
- event-driven
- event-sourcing
- sagas
Repository Index
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Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
The Reactive Extensions for .NET
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
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
- cloud-native
- streaming
- rust
- real-time
Fast web applications through dynamic, partially-stateful dataflow
Reactive Extensions for the Go language.
- reactivex
- golang
- observable
- go
Concurrent and multi-stage data ingestion and data processing with Elixir
- elixir
- genstage
- data-ingestion
- data-processing
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
Ruby and Rails efficient Kafka processing framework
- karafka-framework
- kafka
- kafka-client
- kafka-clients
Python Streaming DataFrames for Kafka
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
A compatibility layer for event-driven abstractions
- stream-processing
- future
- clojure
- async
Tenzir is the data pipeline engine for security teams.
- incident-response
- threathunting
- siem
- soc
Low-code tool for automating actions on real time data | Stream processing for the users.
- flink
- flink-kafka
- apache-flink
- gui
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
- event-driven
- generics
- go
- golang
A stream processing framework to build stateless applications on Kafka
- kafka-streams
- clojure
- framework
The database purpose-built for stream processing applications.
- stream-processing
- real-time
- sql
- interactive
Reactive Extensions for Elixir
Lightweight stream processing engine for IoT
Machine is a workflow/pipeline library for processing data
- golang
- golang-library
- golang-package
- workflow
Amazon Kinesis Aggregators provides a simple way to create real time aggregations of data on Amazon Kinesis.
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
- analytics
- feature-store
- fraud-detection
- python