Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python

• spec

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  The AsyncAPI specification allows you to create machine-readable definitions of your asynchronous APIs. (by asyncapi)

  

Automatic Docs: Stay ahead with automatic AsyncAPI documentation

• faststream

  13 1,891 9.7 Python

  FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.

  

FastStream simplifies the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically. It is a new package based on the ideas and experiences gained from FastKafka and Propan. By joining our forces, we picked up the best from both packages and created a unified way to write services capable of processing streamed data regardless of the underlying protocol. We'll continue to maintain both packages, but new development will be in this project.

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• fastkafka

  38 37 8.7 Jupyter Notebook

  FastKafka is a powerful and easy-to-use Python library for building asynchronous web services that interact with Kafka topics. Built on top of Pydantic, AIOKafka and AsyncAPI, FastKafka simplifies the process of writing producers and consumers for Kafka topics.

  

FastStream simplifies the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically. It is a new package based on the ideas and experiences gained from FastKafka and Propan. By joining our forces, we picked up the best from both packages and created a unified way to write services capable of processing streamed data regardless of the underlying protocol. We'll continue to maintain both packages, but new development will be in this project.

• pydantic

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  Data validation using Python type hints

  

Pydantic Validation: Leverage Pydantic's validation capabilities to serialize and validate incoming messages

• Propan

  16 473 8.2 Python

  Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker

FastStream simplifies the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically. It is a new package based on the ideas and experiences gained from FastKafka and Propan. By joining our forces, we picked up the best from both packages and created a unified way to write services capable of processing streamed data regardless of the underlying protocol. We'll continue to maintain both packages, but new development will be in this project.

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