connect-four-ai

Crates.ioconnect-four-ai
lib.rsconnect-four-ai
version1.0.0
created_at2025-08-09 01:10:33.117504+00
updated_at2025-08-21 15:12:38.576838+00
descriptionA high-performance Rust implementation of a perfect Connect Four solver.
homepagehttps://github.com/benjaminrall/connect-four-ai
repositoryhttps://github.com/benjaminrall/connect-four-ai
max_upload_size
id1787468
size1,243,020
Ben Rall (benjaminrall)

documentation

README

Connect Four AI

Crates.io Version PyPI Version NPM Version License: MIT docs.rs

A high-performance, perfect Connect Four solver written in Rust, with bindings for Python and WebAssembly.

Connect Four GIF

This library can strongly solve any Connect Four position and determine the optimal move. For full details, performance benchmarks, and demos, please see the main GitHub Repository.

Key Features

  • Perfect Solver: Implements an optimised negamax search, which utilises alpha-beta pruning and a transposition table to quickly converge on exact game outcomes.

  • AI Player: Features an AI player with configurable difficulty. It can play perfectly by always choosing the optimal move, or can simulate a range of skill levels by probabilistically selecting moves based on their scores.

  • Bitboard Representation: Uses a compact and efficient bitboard representation for game positions, allowing for fast move generation and evaluation.

  • Embedded Opening Book: Includes a pre-generated opening book of depth 8, which is embedded directly into the binary for instant lookups of early-game solutions.

  • Parallel Book Generator: A tool built with rayon for generating new, deeper opening books.

  • Cross-Platform: Available as a Rust crate, Python package, and WebAssembly module for seamless integration into a wide range of projects.

Installation

This library can be added to a Cargo project by running the following command in your project directory:

cargo add connect-four-ai

or by adding the following line to your Cargo.toml:

connect-four-ai = "1.0.0"

Example Usage

This is a basic example of how to use the Solver to find the score of a position:

use connect_four_ai::{Solver, Position};

fn main() {
  // Creates a position from a sequence of 1-indexed moves
  let position = Position::from_moves("76461241141").unwrap();
  
  // Initialises and uses the Solver to calculate the exact score of the position
  let mut solver = Solver::new();
  let score = solver.solve(&position);
  
  println!("{score}");  // Output: -1
}

License

This project is licensed under the MIT License. See the LICENSE file for details.

Commit count: 34

cargo fmt