Skip to main content

2D Python game engine built on pygame and pymunk

Project description

⚙️ Cogworks Engine

Cogworks Engine is a small, personal 2D Python game engine I created for fun. It’s designed to make building 2D games in Python quick, enjoyable, and structured, using Pygame for rendering and input, and Pymunk for physics simulation.

📘 Documentation: cog-works-engine-docs.vercel.app


🚀 Features

🧩 Component-Based GameObjects – Build flexible and reusable entities with custom behaviour.

⚙️ Physics Integration – Built-in Rigidbody2D and Collider components powered by Pymunk for realistic 2D physics.

🧲 Trigger Collider – Independent collision detection for triggers and interactions without physics simulation.

💨 Particle Effects – Customisable particle systems for explosions, muzzle flash, blood effects.

🔊 Audio Source – Play and control sound effects or background music through component-based audio sources.

🧠 Script Component – Attach Python scripts directly to GameObjects to define custom behaviour and logic.

🎬 Scene Management – Manage levels, menus, and transitions with ease.

🎮 Input Management – Unified keyboard and mouse input handling.

🧱 Extensible & Modular Design – Add new components, systems, and tools without breaking the engine’s core structure.


📦 Installation

Install via pip:

pip install cogworks

🕹️ Quick Start

Here’s a minimal example to get started:

from cogworks import Engine

# Create a new engine instance
engine = Engine(
    width=800,
    height=600,
    caption="My Game",
    fps=60,
)

# Run the engine
engine.run()

📚 Learn More

Visit the full documentation for examples and guides: 👉 https://cog-works-engine-docs.vercel.app


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cogworks-0.2.8.tar.gz (242.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cogworks-0.2.8-py3-none-any.whl (252.3 kB view details)

Uploaded Python 3

File details

Details for the file cogworks-0.2.8.tar.gz.

File metadata

  • Download URL: cogworks-0.2.8.tar.gz
  • Upload date:
  • Size: 242.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for cogworks-0.2.8.tar.gz
Algorithm Hash digest
SHA256 8ada7c6414784f378333b4be0480db2a000640a25f2486b958defee290253179
MD5 ec555897794c5487c65ef2b5853ab1a5
BLAKE2b-256 d3f61196365bf8b7f2a22b56edc7293361cf7f0aaaa7eb54d71756e301f6571f

See more details on using hashes here.

File details

Details for the file cogworks-0.2.8-py3-none-any.whl.

File metadata

  • Download URL: cogworks-0.2.8-py3-none-any.whl
  • Upload date:
  • Size: 252.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.6

File hashes

Hashes for cogworks-0.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 64010065f0bbb42000514f74c96ffe48868452a075e1634f04130533f2a36273
MD5 c92fcefb63b91dc2ee1033572a4ee443
BLAKE2b-256 16c4b630625321e1bd339ca8d382245e13e4352b5e4d97d27e593ec56b5707bc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page