github.com/easychessanimations/gobbit
Go language bitboard multi variant chess analysis engine.
When you want to analyze a variant it is tempting to modify an existing engine, but this carries risks and difficulties. I wanted an engine that I fully understand and is general enough so that it can accomodate many variants.
Portability is important for me. Go is a very portable language, building for a given platform only takes setting two environment variables before running the build command ( the same is not true for C/C++, building for Linux under Windows is close to impossible ). Go is also a pretty low level language ( though not as low level as C/C++ ), so it allows creating a fast native executable. Go compiler has a WASM port, which allows running the engine in the browser.
The engine was inspired by an existing Go language bitboard engine Zurichess which is listed on CCRL and is rated 2800 there. Many ideas were taken over, however not slavishly.
Supported variants are Standard, 8-Piece and Atomic.
The engine operates on a useful fraction of the UCI protocol. Only analysis features are supported, the engine has no time management and it cannot be used to play a live game.
The WASM build of the engine is available online at
https://gobbitengine.netlify.app/
Precompiled binaries are available in the dist folder.
dist\gobbit.exe
dist\gobbit
dist\gobbitmac
Go language's latest version has to be installed on your computer.
git clone https://github.com/easychessanimations/gobbit.git
In go.mod change C:/gomodules/modules/gobbit to the absolute path of the folder where you cloned the repository.
In s\b.bat change C:/gomodules/modules/gobbit to the absolute path of the folder where you cloned the repository.
s\b
This will create the Windows and Linux executable in the dist folder and the web site that can run the WASM executable, including the WASM executable and the glue code, in the site folder.
Study the build instructions for Windows, customize and convert the Windows build script to a script that your system understands, then run this build script.
The engine can be discussed live at
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