Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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Cross-platform, customizable ML solutions for live and streaming media.
A curated list of awesome big data frameworks, ressources and other awesomeness.
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.
Distributed Stream Processing
Framework for building Event-Driven Microservices
An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration
Machine is a workflow/pipeline library for processing data
Daggy - Data Aggregation Utility and C/C++ developer library for data streams catching