PyBevy is in an early and experimental stage. The API is incomplete, subject to breaking changes without notice, and you should expect bugs. Many features are still under development.
Plugin
Create and register a custom plugin that prints a message at regular intervals.
Introduction
Plugins are the building blocks of PyBevy applications. They bundle related components, resources, and systems into reusable modules. This example creates a simple plugin that prints a message on a timer.
from pybevy.prelude import *
from pybevy.decorators import pluginPlugin Definition
A plugin is a class that implements build(), which receives the App and can add systems, resources, and other plugins.
@plugin
class PrintMessagePlugin(Plugin):
def __init__(self, wait_duration: float, message: str):
super().__init__()
self.wait_duration = wait_duration
self.message = message
def build(self, app: App) -> None:
app.insert_resource(PrintMessageState(
message=self.message,
timer=Timer(self.wait_duration, TimerMode.REPEATING),
))
app.add_systems(Update, print_message_system)Plugin State
@resource
class PrintMessageState(Resource):
def __init__(self, message: str, timer: Timer):
self.message = message
self.timer = timer
def print_message_system(state: ResMut[PrintMessageState], time: Res[Time]) -> None:
state.timer.tick(time.delta_secs())
if state.timer.is_finished():
print(state.message)Running the App
@entrypoint
def main(app: App) -> App:
return (
app
.add_plugins(DefaultPlugins)
.add_plugins(PrintMessagePlugin(wait_duration=1.0, message="Hello from plugin!"))
)
if __name__ == "__main__":
main().run()Running this example
Use PyBevy's hot reload feature to run and develop this example. If you don't have PyBevy installed, check out the Quick Start guide.
The code will reload automatically when you make changes to the file.
From Python to Rust
Notice how the core concepts in the code—Commands, Assets, App, and Systems—are identical to the original Bevy example?
This is the power of pybevy! It lets you learn Bevy's powerful, data-driven architecture in friendly Python.
When your project grows and you're ready for maximum, native performance, you'll already know the concepts to start writing systems in Bevy Engine with Rust.