lunaengine 0.2.4

A modern 2D game engine with advanced UI and graphics

LunaEngine 🚀

A modern, optimized 2D game engine built with Python and Pygame featuring advanced UI systems, procedural lighting, and embedded asset management. This engine have features like OpenGL and OpenAL!

PyGame Renderer is no longer supported, only OpenGL!

📋 Features

Feature	Description	Status	Note
Advanced UI	Roblox Studio-like UI components	✅ Functional	...
OpenGL Rendering	Hardware-accelerated graphics	✅ Functional	...
Performance Tools	FPS monitoring, hardware detection	✅ Functional	...
Themes	The engine have pre-built themes	✅ Functional	...
Filters	We home a huge amount of filters for your game(Blur, Neon, ...)	✅ Functional	Could be GPU/CPU Intensive
Lighting System	Dynamic lights and shadows	✅ Functional	Needs more optmization
Particle Effects	Particle system	✅ Functional	You can use it, but needs optmization
Image Embedding	Convert assets to Python code	❌ Discontinued	Useless
Modular Architecture	Easy to extend and customize	:)	...

Code Statistics

See this file

TestPyPi

PyPi

Changelog

🚀 Quick Start

Installation

# First of all, install python 3.9+ (Not tested on older versions)
# Then you can install either from pypy or testpypi
pip install lunaengine
pip install -i https://test.pypi.org/simple/ lunaengine

Ignore

# Install dependencies
pip install -r requirements.txt

# Run a basic example
python examples/ui_comprehensive_demo.py

Lessons

Start learning how to use LunaEngine right now:

• Lessons

Requirements

Core Dependencies (required):

pygame>=2.5.0
numpy>=1.21.0
PyOpenGL>=3.1.0
PyOpenGL-accelerate>=3.1.0
PyOpenAL

Development Tools (optional):

black>=22.0.0
flake8>=4.0.0
pytest>=7.0.0
setuptools>=65.0.0
wheel>=0.37.0
twine>=4.0.0

Build

# Make build
python -m build

# Check files
twine check dist/* 

# Upload testpypi
twine upload --config-file .pypirc --repository testpypi dist/*

# Upload PyPi
twine upload --config-file .pypirc --repository pypi dist/*

OpenGL

• Require OpenGL 3.3+
• OpenGL come activated by default

Network

ToDo