Repository Index

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

• batch-processing
• kafka
• pathway
• python

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

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

Python Stream Processing

• python
• stream-processing
• rust
• data-engineering

Python Streaming DataFrames for Kafka

• kafka
• python
• stream-processing
• data-engineering

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

• flow
• rust
• rust-lang
• stream

Esper Complex Event Processing, Streaming SQL and Event Series Analysis

• cep
• complex-event-processing
• open-source
• compiler

Machine is a workflow/pipeline library for processing data

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

A framework for machine-learning bots

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.