Limitations using ModernGL over PyOpenGL?Īll the necessary calls are (or can be) implemented in ModernGL. NO, but we provide a utility library moderngl-window making windowĬreation and resource loading very simple. Rendering to a window only requiresĪ valid OpenGL context. (Compute Shaders will likely not workĭepending on how old your PC is.) Where can I use ModernGL?Īnywhere where OpenGL is supported.
#MOLTENGL OPENGL 4.3 CORE DRIVERS#
With up to date drivers you willīe able to use the most of the ModernGL functions, even on integrated Shaders require OpenGL 4.0 and OpenGL 4.3 Is my old PC supported? Most of the calls only require OpenGL 3.3 but Subroutines and Compute OpenGL functions are called in quick succession so these calls togetherĬount as a single python function call. In many cases yes, the core functions of ModernGL are written in C++, buffer ( reserve = 1024, dynamic = True ) Build With ModernGL you need just one simple line per VBO to achieve the same glBufferData ( GL_ARRAY_BUFFER, b ' \x00 ' * 1024, GL_DYNAMIC_DRAW ) glBindBuffer ( GL_ARRAY_BUFFER, vbo2 ) GL. glBufferData ( GL_ARRAY_BUFFER, b 'Hello World!', GL_STATIC_DRAW ) vbo2 = glGenBuffers ( 1 ) GL. glBindBuffer ( GL_ARRAY_BUFFER, vbo1 ) GL. With PyOpenGL, using the original OpenGL API, you have to write three lines toĪchieve a simple task like binding a VBO: vbo1 = glGenBuffers ( 1 ) GL. array (, dtype = 'f4' )) Compared to PyOpenGL Easy to use with Pillow and Numpy > img = Image. read () b 'Hello World!'įor complete examples please visit the Examples. buffer ( b 'Hello World!' ) # allocated on the GPU > buf. create_standalone_context () > buf = ctx. Sample usage > import moderngl > ctx = moderngl.
#MOLTENGL OPENGL 4.3 CORE CODE#
In contrast, ModernGL is easy to learn and use, moreover it is capable of rendering with high performance and quality, with less code written.
Usually, acquiring in-depth knowledge of OpenGL requires a steep learning curve. ModernGL is a python wrapper over OpenGL 3.3+ core that simplifies the creation of simple graphics applications like scientific simulations, games or user interfaces.