Repository Index

Python Stream Processing

• kafka-streams
• kafka
• python
• asyncio

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

🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

• cloud-native
• streaming
• rust
• real-time

Distributed stream processing engine in Rust

• data
• dev-tools
• infrastructure
• kafka

A network event stream processing system, in Clojure.

• riemann
• events
• clojure
• monitoring

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

Python Stream Processing. A Faust fork

• asyncio
• python-streaming
• kafka
• redis

🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊

• change-data-capture
• data
• data-collection
• data-engineering

HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.

• streaming
• database
• iot
• stream-processing

Stream Processing Made Easy

• machine-learning
• reactive-programming
• kafka
• reactive-systems

Create a data stream across your information systems to query, augment and transform data according to Elixir matching rules.