envisioned that a PCB plugin will eventually be developed to make it possible for users to implement data Importers and Exporters. 1.1. Plugin Classes Plugins are divided into Plugin Classes since each model data from files and translate that data into a format which can be displayed by the 3D viewer. A PCB Import/Export plugin would take PCB data and export to other electrical or mechanical data formats */ bool CanRender( void ); /* Load the specified model and return a pointer to its visual model data */ SCENEGRAPH* Load( char const* aFileName ); 2. Tutorials: 3D Plugin Class This section contains

envisioned that a PCB plugin will eventually be developed to make it possible for users to implement data Importers and Exporters. 1.1. Plugin Classes Plugins are divided into Plugin Classes since each model plugins load 3D model data from files and translate that data into a format which can be displayed by the 3D viewer while a PCB Import/Export plugin would take PCB data and export to other electronics electronics or mechanical data formats or translate a foreign format into a KiCad PCB. At the moment only the 3D Plugin Class has been developed and this will be the focus of this document. Implementing a Plugin

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

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)