aiokafka
spec
aiokafka | spec | |
---|---|---|
3 | 43 | |
1,064 | 3,899 | |
3.2% | 2.5% | |
8.6 | 7.9 | |
5 days ago | 16 days ago | |
Python | JavaScript | |
Apache License 2.0 | Apache License 2.0 |
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aiokafka
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FastStream: Python's framework for Efficient Message Queue Handling
Our journey with FastStream started when we needed to integrate our machine learning models into a customer's Apache Kafka environment. To streamline this process, we created FastKafka using AIOKafka, AsyncAPI, and asyncio. It was our first step in making message queue management easier.
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Improving Kafka interfaces
aiokafka - https://github.com/aio-libs/aiokafka
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Recently joined a DE team and I've been asked to study async, multiprocessing, queuing, and Kafka. Can anybody tell me how to proceed and also share resources that I can use.
It’s hard to understand exactly what is meant by what you posted but could they be referring to asyncio libraries for use with Kafka in this process? For example, https://github.com/aio-libs/aiokafka
spec
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10 realtime data sources you won't believe are free!
AsyncAPI: Interested in how to define your WebSocket APIs? One of the most advanced realtime specifications is the AsyncAPI specification, which comes with various generators for code and documentation, as well as renderers for the specifications.
- Comunicar microservicios con: ¿Kafka, RabbitMQ u otro? ¿Por qué?
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FastStream: Python's framework for Efficient Message Queue Handling
Our journey with FastStream started when we needed to integrate our machine learning models into a customer's Apache Kafka environment. To streamline this process, we created FastKafka using AIOKafka, AsyncAPI, and asyncio. It was our first step in making message queue management easier.
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Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python
Automatic Docs: Stay ahead with automatic AsyncAPI documentation
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FastStream: the easiest way to add Kafka and RabbitMQ support to FastAPI services
FastStream supports in-memory testing, AsyncAPI schema generation and more... If you are interested, please support our project by giving a GH start and joining our discord server.
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An AsyncAPI Example: Building Your First Event-driven API
However, in order for the system to work effectively, there must be a common understanding between the components regarding events and their data structures. This is where AsyncAPI comes in; it helps define a contract that describes how the components communicate and behave effectively.
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Is this a viable approach to a chat microservice?
You can also take a look at https://www.asyncapi.com/ (a spec for asynchronous APIs). It's useful for this use case, that is, building a well structured websocket interface with pub/sub.
- OpenAPI v4 Proposal
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Propan 0.1.2 - new way to interact Kafka from Python
Sure! Next step I am working on AsyncAPI scheme generation by your application code. It's also includes a project generation from scheme, scheme web view (lika the Swagger for OpanAPI), etc. It will a much difficult than just another broker implementation...
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Make API product lifecycle management easy
Onboarding - Enable developers to quickly learn how to consume the exposed APIs. For example, offer OpenAPI or AsyncAPI documentation and provide a portal and sandbox.
What are some alternatives?
confluent-kafka-python - Confluent's Kafka Python Client
springdoc-openapi - Library for OpenAPI 3 with spring-boot
Faust - Python Stream Processing
WatermelonDB - 🍉 Reactive & asynchronous database for powerful React and React Native apps ⚡️
faust - Python Stream Processing. A Faust fork
asyncapi-react - React component for rendering documentation from your specification in real-time in the browser. It also provides a WebComponent and bundle for Angular and Vue
quix-streams - A Python library for building containerized ML and Generative AI applications with Apache Kafka.
mqtt-venstar-bridge - Simple MQTT bridge to the venstar HTTP API
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.
eventbridge-atlas - Open-source tool to document, discover, and share your Amazon EventBridge schemas.
Propan - Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker
Flask-SocketIO - Socket.IO integration for Flask applications.