sunfish VS stockfish

The NNUE version does but the non-NNUE version doesn't use numpy. That numpy import is for a neural network based evaluation functions. The base engine still plays at a strong human level and doesn't use numpy to do any of the heavy lifting. It does rely on itertools and collections though.

I'm currently working on a chess bot in C++. The literature and common sense tells you that faster is better, which was my main reason for choosing C++. Then I discovered Sunfish on GitHub that in around 400 lines of Python (without any low level libraries like ctypes) and it still beat me somewhat convincingly. It was definitely fast enough.

Just one file: Sunfish.py

sunfish – A Python Chess Engine in 111 lines of code

https://github.com/thomasahle/sunfish sunfish is a pretty simple one that uses piece square tables for evaluating positions. Wouldn’t be too difficult to change or even tune

It's from 1990. My father passed it down to me. It works... Uhmm.. idk. There's a proprietary chess engine built in. It says it's around 1700 elo points strong. I am a big noob when it comes to chess engines but if you're interested in learning you can check out sunfish , but (Python) programming skills are required.

Incomprehensible scheiße code. I looked around and I like this one because it has "meta-level" definition of movements and liitle bit of strategy. You could implement context-free chess games with varying rules for us congenitally lazy and dull-witted. https://github.com/thomasahle/sunfish/blob/master/sunfish.py

sunfish https://github.com/thomasahle/sunfish (sunfish is the most compact and still understandable code in my opinion)

2.) Something with this, maybe game review/scoring

Stretch goal: Solve chess images for best moves using stockfish (https://github.com/zhelyabuzhsky/stockfish).

According to here the default depth in that package is 2, which is way to low. You should set the depth higher either in the constructor or using set_depth.