Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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Updated
Oct 2, 2026 - Python
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Python Stream Processing
🌊 Online machine learning in Python
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.
Python Stream Processing
A Python stream processing engine modeled after Yahoo! Pipes
Python Streaming DataFrames for Kafka
Play any radios around the globe right from the terminal ⚡
csp is a high performance reactive stream processing library, written in C++ and Python
Distributed event processing for Python based on Redis Streams
An open source, cloud-native streaming data integration and analytics product optimized for agile digital businesses
Toolkit for graph-relational data across space and time
A stream processing runtime that allows connecting any streaming data source to any destination and act on it
Elkeid HUB is a rule/event processing engine maintained by the Elkeid Team that supports streaming/offline (not yet supported by the community edition) data processing. The original intention is to solve complex data/event processing and external system linkage requirements through standardized rules.
🚨 Simple, self-contained fraud detection system built with Apache Kafka and Python
Streaming Ethereum and Bitcoin blockchain data to Google Pub/Sub or Postgres in Kubernetes
The Gretel Python Client allows you to interact with the Gretel REST API.
A library to build streaming applications that consume from and produce to Kafka.
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