Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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Python Stream Processing
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 Streaming DataFrames for Kafka
Streaming reactive and dataflow graphs in Python
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
Stream Processing Made Easy