| .github/workflows | ||
| docs | ||
| docs-src | ||
| dynamic | ||
| examples | ||
| raygui-c@bad9c8bb58 | ||
| raylib | ||
| raylib-c@b6c8d343dc | ||
| .gitignore | ||
| .gitmodules | ||
| build_raygui.sh | ||
| BUILDING.rst | ||
| color_test.py | ||
| create_stub_pyray.py | ||
| create_stub_static.py | ||
| LICENSE | ||
| make_docs.sh | ||
| MANIFEST.in | ||
| raylib_api.json | ||
| README.md | ||
| setup.py | ||
| test_pyray.py | ||
| test_static.py | ||
| test_static_with_prefix.py | ||
| version.py | ||
Python Bindings for Raylib 3.7
New CFFI API static bindings. Automatically generated to be as close as possible to original Raylib. Faster, fewer bugs and easier to maintain than ctypes.
License (updated)
The bindings are now under the Eclipse Public License, so you are free to statically link and use in non-free / proprietary / commercial projects!
Installation
python3 -m pip install raylib
If it doesn't work, first make sure you have latest pip installed:
python3 -m pip install --upgrade pip
On most platforms it should install a binary wheel (Windows 10 x64, MacOS 10.15 x64, Linux Ubuntu1804 x64).
If yours isn't available then pip will attempt to build from source, in which case you will need to have Raylib development libs installed, e.g. using homebrew, apt, etc.
If it doesn't work, you can build manually.
Dynamic binding version
There is now a separate dynamic version of this binding:
python3 -m pip install raylib_dynamic
Read this before using raylib_dynamic
How to use
There are two APIs, you can use either or both:
If you are familiar with C coding and the Raylib C library and you want to use an exact copy of the C API
Use the C API.
If you prefer a slightly more Pythonistic API and don't mind it might be slightly slower
Use the Python API.
RLZero
Work in progress:
A simplified API for Raylib for use in education and to enable beginners to create 3d games
Help wanted
- converting more examples from C to python
- testing and building on more platforms
Performance
For fastest performance use Pypy rather than standard python.
Every call to C is costly, so it's slightly faster if you use Python data structures and functions when calculating in your update loop and then only convert them to C data structures when you have to call the C functions for drawing.
Bunnymark
| Library | Implementation | Bunnies (60 FPS) | Percentage |
|---|---|---|---|
| Raylib 3.7 | C | 168100 | 100% |
| Raylib Python CFFI 3.7 | Pypy 3.7 | 33800 | 20% |
| Raylib Python CFFI 3.7 | Python 3.9 | 7700 | 4.5% |
| Raylib Python CFFI 3.7 | Python 3.9 Nuitka | 8600 | 5.1% |
| Raylib Python CFFI 3.7 Dynamic | Python 3.9 | 6300 | 3.7% |
Packaging your app
You can create a standalone binary using the Nuitka compiler. For example, here is how to package Bunnymark:
pip3 install nuitka
cd examples/textures
python3 -m nuitka --onefile --linux-onefile-icon resources/wabbit_alpha.png textures_bunnymark.py
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