Slipstream – A Python library for stateful stream processing

In plain words

Slipstream is a Python library for building stateful stream processing applications. It enables developers to process continuous data streams while maintaining state across operations. The library is designed for engineers who need to handle event-driven data processing tasks programmatically. Slipstream integrates with Python workflows and provides documentation to help users implement streaming logic in their applications.

written from the facts on this page · September 2026

From the sources

Slipstream provides a data-flow model to simplify development of stateful streaming applications. Consume any source that can be turned into an Async Iterable ; Kafka, streaming API’s, et cetera. Sink or cache data to any Callable ; Kafka, RocksDB, API’s. Perform any arbitrary stateful operation – joining, aggregating, filtering – using regular Python code. Detect dependency stream downtimes, pause dependent streams, or send out corrections. Because everything is built with basic python building blocks, framework-like features can be crafted with ease. For instance, while timers aren’t included, you can whip one up effortlessly: from asyncio import run , sleep async def timer ( interval =…from slipstream.readthedocs.io

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