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Faust

Processes streaming data in Python, sharing similarity with Kafka Streams, Apache Spark/Storm/Samza/Flink.

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    What is Faust?

    Faust is a stream processing library that brings the capabilities of Kafka Streams to the Python programming language. It enables the development of streaming applications, offering both stream processing and event processing functionality. Faust shares similarities with other prominent stream processing frameworks such as Kafka Streams, Apache Spark, Apache Storm, Apache Samza, and Apache Flink, positioning it as a valuable tool within the stream processing landscape

    Highlights

    • Stream Processing: Faust provides a robust stream processing engine, allowing developers to build efficient and scalable streaming applications
    • Event Processing: In addition to stream processing, Faust also supports event processing, enabling the handling of real-time data streams
    • Kafka Streams Compatibility: Faust is inspired by the design and principles of Kafka Streams, providing a Python-based alternative for developers familiar with that ecosystem
    • Open Source and Community Driven: Faust is an open-source project, with a sizable community of contributors and a thriving GitHub repository with over 6.6K stars and 550 forks.

    Features

      • Build high performance distributed systems

      • stream processing

      • Real-time data pipelines

      • Event processing