Python Bindings for Raylib

This uses CFFI API static bindings rather than ctypes. Hopefully this will be faster, the static type knowledge from the C headers will result in fewer bugs, and using the original headers will make it easier to maintain.

Currently the goal is make usage as similar to the original C as CFFI will allow. There are a few differences you can see in the examples. Making a 'Pythonic' library would be an additional layer on top which hasn't been done yet.

See test_static.py and examples/*.py for how to use.

Installing

MacOS: Python 3.7: we distribute a statically linked Raylib library, so in theory the only thing you need to do is install us from Pypi.

pip3 install raylib

Linux: Python 3.6: we dont distribute Raylib, so you must have Raylib 2.5dev already installed on your system.

pip3 install raylib

If you're using a different version of Python, or using Windows, or maybe a Linux/Mac with incompatible libraries you will have to build.

cd raylib
python3 build_linux.py
python3 build_mac.py

Platforms tested

• MacOS 10.12.6 - Python 3.7
• Ubuntu 18.04 LTS - Python 3.6

HELP WANTED

• converting more examples from C to python
• testing and building on more platforms

Dynamic bindings

I have attempted to do CFFI ABI dynamic bindings too in order to avoid the need to compile a C extension module, but they don't work properly. They fail in the same place the ctypes binding fails, accessing materials of a model, because Python can't dynamically tell the difference between a pointer and an array. There's probably some way to specify this (e.g. in raylib_modified.h) but it's difficult to be sure we fixed them all because the errors are often completely silent.

See test_dynamic.py for the non-working example.