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

Apache Beam is a unified programming model for Batch and Streaming data processing.

• python
• java
• big-data
• beam

Reactive Extensions for the Go language.

• reactivex
• golang
• observable
• go

Goka is a compact yet powerful distributed stream processing library for Apache Kafka written in Go.

• goka
• stream
• processing
• kafka

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

Distributed Stream Processing

• stream-processing
• stream-processor
• stream-processing-engine
• pony-language

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

• flow
• rust
• rust-lang
• stream

Build platforms that flexibly mix SQL, batch, and stream processing paradigms

• golang
• event-sourcing
• stream-processing
• brokers

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

• event-driven
• generics
• go
• golang

Machine is a workflow/pipeline library for processing data

• golang
• golang-library
• golang-package
• workflow

Small, Fast event processing and monitoring for Erlang/OTP applications.

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

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

A light-weight package for in-app micro batch processing

• batch
• batch-processing
• event-processing
• go