snake and snakeia

These are competitors offering different approaches to AI-driven Snake gameplay: the first prioritizes popularity and established adoption (1,757 stars), while the second provides a more feature-rich modern implementation with Deep Q-Learning and 3D rendering despite lower visibility.

snake
64
Established
snakeia
53
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 4/25
Maturity 25/25
Community 14/25
Stars: 1,757
Forks: 553
Downloads:
Commits (30d): 2
Language: Python
License: MIT
Stars: 7
Forks: 3
Downloads:
Commits (30d): 0
Language: JavaScript
License: GPL-3.0
No Package No Dependents
No risk flags

About snake

chynl/snake

Artificial intelligence for the Snake game.

This project develops and evaluates different AI strategies for the classic Snake game. It takes in game parameters and an AI algorithm, then outputs metrics like the snake's average length and number of steps taken. This is for game developers, AI researchers, or enthusiasts interested in comparing and understanding game-playing AI.

game-development artificial-intelligence game-design algorithm-evaluation game-AI

About snakeia

Eliastik/snakeia

A modern Snake game featuring an artificial intelligence powered by Deep Q-Learning (TensorFlow.js). Written in pure, object-oriented JavaScript, with a 3D rendering engine powered by Three.js.

This project offers a modern take on the classic Snake game, enhanced with various artificial intelligence players. You can play solo against different AI difficulties, watch multiple AIs battle it out in a Battle Royale, or even play online with others. It takes your input (or AI algorithms) and outputs an engaging game experience, perfect for anyone interested in observing or interacting with AI in a familiar game setting.

AI-gaming game-entertainment casual-gaming machine-learning-demonstration

Scores updated daily from GitHub, PyPI, and npm data. How scores work