A collection of demonstrations showcasing how stream processing can be used to solve real-world problems.
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Updated
Sep 12, 2024 - Python
A collection of demonstrations showcasing how stream processing can be used to solve real-world problems.
A scalable, declarative, low-code framework for real-time and batch feature calculation/management (quant finance, anomaly/fraud detection, etc.), predictive ML training/inference and simulation. Built on top of Ray
Simple stream processing library for synchronous or parallel and non-distributed execution.
A sample real-time streaming analytics application with Spark Structured Streaming and Kafka.
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