This is a template repo to get you started with FastAPI + FastAPI Users.When you develop your FastAPI project, at some point you will need auth and users. FastAPI Users provides "Ready-to-use and customizable users management for FastAPI". There are several examples like this and this to ...
Gain visibility into your app by logging withAzure Monitor Host your Python app If you want your app code to run on Azure, you have several options as described inHosting applications on Azure. If you're building web apps or APIs (Django, Flask, FastAPI, and so on), consider: ...
Built on-top of FastAPI and runpod you can built high quality endpoints with proven stability. Table of contents Introduction Why is this useful?: A section explaining why you should use this package. What does this do?: A section explaining the features of this package. Get started: ...
Prominent Websites/Applications Built with FastAPI: Uber Engineering:Uses FastAPI for real-time data processing and communication. Microsoft Azure Functions:Integrates FastAPI for serverless API development. Turing.com:Manages its global developer community efficiently with FastAPI. Tornado Tornado is a Pytho...
FastAPI 是一个用于构建 API 的现代、快速(高性能)的 web 框架。已经遮住了 Flask 的光芒。 用FastAPI 写一个 HTTP Api,看看能不能处理 GET 请求的 body。代码如下: //main.pyfromfastapiimportBody,FastAPIfrompydanticimportBaseModelapp=FastAPI()classItem(BaseModel):name:str@app.get("/")asyncdefupdate_...
Shiny Server Open Source: A free, open-source server platform. RStudio Connect: Our professional data science publishing platform that you can host on your own servers Or other hosting services that support FastAPI. Learn more about deploying Shiny for Python applicationsin its documentation. ...
You can also use the Azure Management Libraries for Python to create and manage resources. The management libraries allow you to use Python to implement custom deployment and management functionality. Here are a few articles that can help you get started:...
You can also use the Azure Management Libraries for Python to create and manage resources. The management libraries allow you to use Python to implement custom deployment and management functionality. Here are a few articles that can help you get started:...
You can also use the Azure Management Libraries for Python to create and manage resources. The management libraries allow you to use Python to implement custom deployment and management functionality. Here are a few articles that can help you get started:...
from pydantic import BaseModelapp = FastAPI() class Item(BaseModel): name: str@app.get("/") async def update_item(item: Item): results = {“name”: item.name} return results 执行以下命令将其启动:$ uvicorn flask-test:app INFO: Started server process [8532] ...