Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
- rocketmq
- cloud-native
- eventing
- java
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Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Building event-driven applications the easy way in Go.
🍴 Web applications made easy. Since 2011.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
JeroMQ is a pure Java implementation of the ZeroMQ messaging library, offering high-performance asynchronous messaging for distributed or concurrent applications.
EventMesh is a new generation serverless event middleware for building distributed event-driven applications.
Python Streaming DataFrames for Kafka
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Build realtime Ruby web applications. Created by the fine folks at Poll Everywhere.
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
Messaging patterns for Backbone applications.
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
A stream processing framework to build stateless applications on Kafka
Sample implementation and comparison of various approaches to building DDD applications. Useful as a baseline to quickly start a DDD dot net project.
The database purpose-built for stream processing applications.
Lightweight and Extensible Infrastructure for Building Web Applications - Web Application Framework
:incoming_envelope: A fast Message/Event Hub using publish/subscribe pattern with support for topics like* rabbitMQ exchanges for Go applications
Yet another Event Sourcing experiment. A project exploring Vert.x to develop Event Sourcing / CQRS applications.
Build event-driven and event streaming applications with ease