supports Flask, Django, Tornado, aiohttp framework Support for asyncio and coroutine Support data visualization with third-party libraries Installation Stable version: pip3 install -U pywebio Development Deploy Application Deploy Other Libraries support Build stand-alone App Data visualization Demos Basic demos Data visualization demos Miscellaneous Commonly used Codemirror options Nginx WebSocket Config function as the key and the input data as the value: The input group also supports using validate parameter to set the validation function, which accepts the entire form data as parameter: Attention PyWebIO

supports Flask, Django, Tornado, aiohttp framework Support for asyncio and coroutine Support data visualization with third-party libraries Installation Stable version: pip3 install -U pywebio Development Deploy Application Deploy Other Libraries support Build stand-alone App Data visualization Demos Basic demos Data visualization demos Miscellaneous Commonly used Codemirror options Nginx WebSocket Config function as the key and the input data as the value: The input group also supports using validate parameter to set the validation function, which accepts the entire form data as parameter: Attention PyWebIO

Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization with third-party libraries Installation Stable version: pip3 install -U pywebio Development Deploy Application Deploy Other Libraries support Build stand-alone App Data visualization Demos Basic demos Data visualization demos Miscellaneous Commonly used Codemirror options Nginx WebSocket Config function as the key and the input data as the value: The input group also supports using validate parameter to set the validation function, which accepts the entire form data as parameter: Attention PyWebIO

Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization with third-party libraries Installation Stable version: pip3 install -U pywebio Development Deploy Application Deploy Other Libraries support Build stand-alone App Data visualization Demos Basic demos Data visualization demos Miscellaneous Commonly used Codemirror options Nginx WebSocket Config function as the key and the input data as the value: The input group also supports using validate parameter to set the validation function, which accepts the entire form data as parameter: Attention PyWebIO

Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization with third-party libraries Installation Stable version: pip3 install -U pywebio Development Deploy Application Deploy Other Libraries support Build stand-alone App Data visualization Demos Basic demos Data visualization demos Miscellaneous Commonly used Codemirror options Nginx WebSocket Config function as the key and the input data as the value: The input group also supports using validate parameter to set the validation function, which accepts the entire form data as parameter: Attention PyWebIO

Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization with third-party libraries Installation Stable version: pip3 install -U pywebio Development Deploy Application Deploy Other Libraries support Build stand-alone App Data visualization Demos Basic demos Data visualization demos Miscellaneous Commonly used Codemirror options Nginx WebSocket Config function as the key and the input data as the value: The input group also supports using validate parameter to set the validation function, which accepts the entire form data as parameter: Attention PyWebIO

supports Flask, Django, Tornado, aiohttp framework • Support for asyncio and coroutine • Support data visualization with third-party libraries 3 PyWebIO, Release 1.2.3 4 Chapter 1. Features CHAPTER TWO input data as the value: data = input_group("Basic info",[ input('Input your name', name='name'), input('Input your age', name='age', type=NUMBER, validate=check_age) ]) put_text(data['name'], data['age']) entire form data as parameter: 4.1. User’s guide 11 PyWebIO, Release 1.2.3 def check_form(data): # input group validation: return (input name, error msg) when ˓→validation fail if len(data['name']) >

supports Flask, Django, Tornado, aiohttp framework • Support for asyncio and coroutine • Support data visualization with third-party libraries 3 PyWebIO, Release 1.2.2 4 Chapter 1. Features CHAPTER TWO input data as the value: data = input_group("Basic info",[ input('Input your name', name='name'), input('Input your age', name='age', type=NUMBER, validate=check_age) ]) put_text(data['name'], data['age']) entire form data as parameter: 4.1. User’s guide 11 PyWebIO, Release 1.2.2 def check_form(data): # input group validation: return (input name, error msg) when ˓→validation fail if len(data['name']) >

Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization with third-party libraries Installation Stable version: pip3 install -U pywebio Development Integration with web framework Coroutine-based session Libraries support Build stand-alone App Data visualization FAQ Release notes What’s new in PyWebIO 1.4 What’s new in PyWebIO 1.3 What’s new in PyWebIO as parameter, and returns a dictionary with the name of the single input as its key and the input data as its value: return 'Too old!!' age = input("How old are you?", type=NUMBER, validate=check_age)

Tornado, aiohttp and FastAPI(Starlette) framework Support for asyncio and coroutine Support data visualization with third-party libraries Installation Stable version: pip3 install -U pywebio Development Integration with web framework Coroutine-based session Libraries support Build stand-alone App Data visualization Cookbook Release notes What’s new in PyWebIO 1.6 What’s new in PyWebIO 1.5 What’s new in as parameter, and returns a dictionary with the name of the single input as its key and the input data as its value: return 'Too old!!' age = input("How old are you?", type=NUMBER, validate=check_age)