With Pathway, you can effortlessly design and deploy sophisticated data workflows that efficiently handle high volumes of data in real time. Pathway provides a high-level programming interface in Python for defining data transformations, aggregations, and other operations on data streams.

If you want to do streaming in Python, build an AI data pipeline, or if you are looking for your next Python data processing framework, keep reading. Still, Pathway is a powerful tool that can be used for a lot of things. In the first place, Pathway was designed to be a life-saver (or at least a time-saver) for Python developers and ML/AI engineers faced with live data sources, where you need to react quickly to fresh data.

Pathway's distributed runtime (🦀-🐍) provides fresh results of your data pipelines whenever new inputs and requests are received. It is used to create Python code which seamlessly combines batch processing, streaming, and real-time API's for LLM apps. Pathway is an open framework for high-throughput and low-latency real-time data processing.

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