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Sabaki (free) Download Full | **UPDATE

- Sabaki

Sabaki (free) Download Full | **UPDATE

Published Date: 2024-04-14

Sabaki Free Download

Sabaki is a powerful open-source program that uses a neural network to review games of Go and propose reasonable next moves. The app is designed to run on any computer with an x86-64 architecture and is free to download. Sabaki includes a robust library of professional games and lets you explore your own games by replaying them or analyzing them with the neural network. The app also features a tutor mode, tactical problems, and automatic commentary on your games. By utilizing the latest advancements in artificial intelligence, Sabaki empowers you to improve your Go playing skills and gain a deeper understanding of the game.

The latest version of Sabaki (2.11.1) offers significant improvements over previous versions. Key enhancements include: * Improved neural network analysis for stronger move suggestions. * Enhanced user interface for better accessibility. * Additional features such as auto-annotations and improved game navigation. If you're an avid Go player looking to enhance your strategy and analysis, Sabaki is an invaluable tool that provides professional-level insights at no cost. Download it today and elevate your Go gameplay to new heights.


Sabaki: An elegant Go board and SGF editor for a more civilized age. Sabaki is a modern, elegant, cross-platform Go/Baduk/Weiqi board and SGF editor for a more civilized age. Itís free, open source and uses web technology based on Electron. You can see its code, contribute or report an issue at our GitHub repository. Sabaki offers a variety of board markup tools, including the SGF 4-compliant line and arrow tool. Annotate your positions and moves, set hotspots in your favorite games, write reviews in Markdown. Sabaki also supports SGF game containers, saving and reading multiple games within one file. Score your games using area or territory counting. You can also use the score estimator to see which player is ahead in mid-game. Toggle the life & death status of groups to refine the estimation.