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spec
The AsyncAPI specification allows you to create machine-readable definitions of your asynchronous APIs. (by asyncapi)
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faststream
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.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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fastkafka
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.
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Propan
Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Automatic Docs: Stay ahead with automatic AsyncAPI documentation
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.
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 Validation: Leverage Pydantic's validation capabilities to serialize and validate incoming messages
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.
Related posts
- FastStream: the easiest way to add Kafka and RabbitMQ support to FastAPI services
- FastStream v0.4.0: Introducing Confluent Kafka Integration with Async Support
- Processing streaming messages from a Django service
- FastStream: Python's framework for Efficient Message Queue Handling
- FastStream 0.2.0 adds NATS support in addition to Apache Kafka and RabbitMQ. It is the easiest way to add broker-agnostic support for streaming protocols to your microservices.