output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp framework Support for asyncio and coroutine Support data visualization with third-party with Flask, Tornado, Django and aiohttp web frameworks. The integration methods of those web frameworks are as follows: Tornado Flask Django aioh�p Need to add a RequestHandler to Tornado application: application: import tornado.ioloop import tornado.web from pywebio.platform.tornado import webio_handler from pywebio import STATIC_PATH class MainHandler(tornado.web.RequestHandler): def get(self):

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp framework Support for asyncio and coroutine Support data visualization with third-party with Flask, Tornado, Django and aiohttp web frameworks. The integration methods of different web frameworks are as follows: Tornado Flask Django aioh�p Need to add a RequestHandler to Tornado application: application: import tornado.ioloop import tornado.web from pywebio.platform.tornado import webio_handler from pywebio import STATIC_PATH class MainHandler(tornado.web.RequestHandler): def get(self):

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization address. backend (str): The current PyWebIO backend server implementation. The possible values are 'tornado', 'flask', 'django' , 'aiohttp' , 'starlette'. protocol (str): The communication protocol between type of request can be: When using Tornado, request is instance of tornado.httputil.HTTPServerRequest [https://www.tornadoweb.org/en/stable/httputil.html#tornado.httputil.HTTPServerR equest] When using

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization supports integration with Flask, Tornado, Django, aiohttp and FastAPI(Starlette) web frameworks. The integration methods of those web frameworks are as follows: Tornado Flask Django aioh�p FastAPI/Starle�e platform.tornado.webio_handler() to get the WebSocketHandler [https://www.tornadoweb.org/en/stable/websocket.html#tornado.websocket.WebSocketHandler] class for running PyWebIO applications in Tornado: import

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization supports integration with Flask, Tornado, Django, aiohttp and FastAPI(Starlette) web frameworks. The integration methods of those web frameworks are as follows: Tornado Flask Django aioh�p FastAPI/Starle�e platform.tornado.webio_handler() to get the WebSocketHandler [https://www.tornadoweb.org/en/stable/websocket.html#tornado.websocket.WebSocketHandler] class for running PyWebIO applications in Tornado: import

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization supports integration with Flask, Tornado, Django, aiohttp and FastAPI(Starlette) web frameworks. The integration methods of those web frameworks are as follows: Tornado Flask Django aioh�p FastAPI/Starle�e platform.tornado.webio_handler() to get the WebSocketHandler [https://www.tornadoweb.org/en/stable/websocket.html#tornado.websocket.WebSocketHandler] class for running PyWebIO applications in Tornado: import

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization supports integration with Flask, Tornado, Django, aiohttp and FastAPI(Starlette) web frameworks. The integration methods of those web frameworks are as follows: Tornado Flask Django aioh�p FastAPI/Starle�e platform.tornado.webio_handler() to get the WebSocketHandler [https://www.tornadoweb.org/en/stable/websocket.html#tornado.websocket.WebSocketHandler] class for running PyWebIO applications in Tornado: import

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization address. backend (str): The current PyWebIO backend server implementation. The possible values are 'tornado', 'flask', 'django' , 'aiohttp' , 'starlette'. protocol (str): The communication protocol between type of request can be: When using Tornado, request is instance of tornado.httputil.HTTPServerRequest [https://www.tornadoweb.org/en/stable/httputil.html#tornado.httputil.HTTPServerR equest] When using

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization address. backend (str): The current PyWebIO backend server implementation. The possible values are 'tornado', 'flask', 'django' , 'aiohttp' , 'starlette'. protocol (str): The communication protocol between type of request can be: When using Tornado, request is instance of tornado.httputil.HTTPServerRequest [https://www.tornadoweb.org/en/stable/httputil.html#tornado.httputil.HTTPServerR equest] When using

output operation Support integration into existing web services, currently supports Flask, Django, Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization address. backend (str): The current PyWebIO backend server implementation. The possible values are 'tornado', 'flask', 'django' , 'aiohttp' , 'starlette'. protocol (str): The communication protocol between type of request can be: When using Tornado, request is instance of tornado.httputil.HTTPServerRequest [https://www.tornadoweb.org/en/stable/httputil.html#tornado.httputil.HTTPServerR equest] When using