Robinhood's Faust
A Python stream processing library that ports Kafka Streams concepts to Python, enabling scalable event processing and in-memory durable key/value stores.
What is Robinhood's Faust?
Faust is a Python stream processing library that ports the ideas from Kafka Streams to Python. It enables developers to build scalable event processing applications and in-memory durable key/value stores as a library, leveraging asyncio and static typing. It is designed to handle real-time data pipelines processing billions of events daily.
Python developers and data engineers building distributed systems, real-time data pipelines, or event-driven applications that require stream processing with high availability and scalability.
Developers choose Faust because it allows them to use familiar Python syntax and libraries for stream processing without learning a new DSL, while providing Kafka Streams-like reliability, state management, and horizontal scalability.
Overview
Python Stream Processing. A Faust fork
Use Cases
Best For
- Building real-time data pipelines that process high-volume event streams
- Creating distributed systems with durable, replicated in-memory state
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