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faust-streaming avatar

faust-streaming/faust

0
View on GitHub↗
1,874 estrellas·204 forks·Python·7 vistasfaust-streaming.github.io/faust↗

Faust

Python Stream Processing. A Faust fork

Features

  • Stream Processing - Python library for stream processing with asyncio and durable storage.

Historial de estrellas

Gráfico del historial de estrellas de faust-streaming/faustGráfico del historial de estrellas de faust-streaming/faust

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Alternativas open-source a Faust

Proyectos open-source similares, clasificados según cuántas características comparten con Faust.
  • aklivity/zillaAvatar de aklivity

    aklivity/zilla

    690Ver en GitHub↗

    🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka® via declaratively defined, stateless APIs.

    Java
    Ver en GitHub↗690
  • apache/beamAvatar de apache

    apache/beam

    8,612Ver en GitHub↗

    Apache Beam is a distributed data pipeline framework and unified data processing model designed to handle both bounded batch data and unbounded real-time streams. It provides a system for building scalable, data-parallel workflows that operate across compute clusters using a single programming model. The framework utilizes a cross-runner pipeline abstraction that decouples the data processing logic from the underlying execution backend, allowing the same pipeline to run on different distributed compute engines. It supports multi-language pipeline development by translating high-level code fro

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    Ver en GitHub↗8,612
  • apache/flinkAvatar de apache

    apache/flink

    26,086Ver en GitHub↗

    Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve

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  • airtai/faststreamAvatar de airtai

    airtai/faststream

    5,234Ver en GitHub↗

    FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified abstraction layer for interacting with various message brokers, enabling developers to manage event production and consumption through a consistent interface while maintaining access to native provider-specific features. The framework centers on a decorator-based routing model that binds application logic directly to broker topics, supported by a built-in dependency injection container that resolves resources at runtime. The framework distinguishes itself through its deep int

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Ver las 21 alternativas a Faust→

Preguntas frecuentes

¿Qué hace faust-streaming/faust?

Python Stream Processing. A Faust fork

¿Cuáles son las características principales de faust-streaming/faust?

Las características principales de faust-streaming/faust son: Stream Processing.

¿Qué alternativas de código abierto existen para faust-streaming/faust?

Las alternativas de código abierto para faust-streaming/faust incluyen: aklivity/zilla — 🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka®… apache/beam — Apache Beam is a distributed data pipeline framework and unified data processing model designed to handle both bounded… apache/flink — Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite… apache/kafka — Kafka is a distributed event streaming platform designed for capturing, storing, and processing real-time data streams… apache/samza — Mirror of Apache Samza. airtai/faststream — FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified…