WebGL2 jupyter widget
Project description
ipywebgl
A WebGL2 widget for Jupyter Lab
Introduction
This module is exposing a part of the WebGL2 context. Is is assumed that you are familiar with the concepts and commands. You can find more information about it here : https://webgl2fundamentals.org/
There is some major differences still :
- All the WebGL2 commands are called on the GLViewer instead of a gl context.
- All the API is written in snake_case instead of camelCase, so for example
gl.drawArrays(...)
in JavaScript becomeswidget.draw_arrays(...)
in Python - Masks parameters are replaced by positional attribute, so for example
gl.clear(gl.DEPTH_BUFFER_BIT | gl.COLOR_BUFFER_BIT);
in JavaScript becomeswidget.clear(depth_buffer_bit=True, color_buffer_bit=True)
in Python - Enums are replaced by strings, so for example
gl.bufferData(gl.ARRAY_BUFFER, data, gl.DYNAMIC_DRAW);
in JavaScript becomeswidget.buffer_data("ARRAY_BUFFER", data, "DYNAMIC_DRAW")
in Python - There is no delete functions, once something is created it stays created (we are in a prototype environment).
- You will find some 'Extended' methods that can simplify some calls like the
create_vertex_array_ext
that will create and link the programs and buffers all at once.
Not all the functions are exposed as of today. If you need more, feel free to ask on github https://github.com/JeromeEippers/ipywebgl.
All the commands you call on the GLViewer are push to a commands buffer. That commands buffer is only flushed when you call the execute_commands() method.
Installation
You can install using pip
:
pip install ipywebgl
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