Fuego VS Sabaki

Fuego

Fuego is a collection of C++ libraries for developing software for the game of Go. It includes a Go player using Monte Carlo tree search.

Sabaki

Sabaki is cross-platform graphical UI for Go/Baduk/Weiqi game board and SGF (Smart Go Format) editor. Free, open source, based on Electron.

Landing page //
2023-04-26

Landing page //
2020-09-20

Categories	Chess Games Online Games Marketing Platform
Website	sourceforge.net
Details $	-

Categories	Chess Games Online Games Marketing Platform
Website	sabaki.yichuanshen.de
Details $

Fuego videos

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Fuego Dance Shoe Review! One year dancing in Fuego sneakers: the pros, cons and should you buy them?

Sabaki videos

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AikidoTai Sabaki review

Category Popularity

0-100% (relative to Fuego and Sabaki)

Sabaki

Chess

34 34%

Chess

66% 66

Online Games

27 27%

Online Games

73% 73

Games

32 32%

Games

68% 68

Marketing Platform

100 100%

Marketing Platform

0% 0

User comments

Share your experience with using Fuego and Sabaki. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Sabaki seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Fuego mentions (0)

We have not tracked any mentions of Fuego yet. Tracking of Fuego recommendations started around Mar 2021.

Sabaki mentions (8)

I wonder if these ChatGPT answers will every get nuked
I've been using ChatGPT since launch and constantly seeking out examples of how others have been using it. A few years ago I started using KataGo with Sabaki to improve my go-playing abilities. I've known about token embeddings in neural networks before ChatGPT was a twinkle in OpenAI's eye. I was there, but I haven't seen everything you've seen, so please show me. If the truth is that ChatGPT has canned responses... Source: about 1 year ago
Tough semeai during one of my recent tournament games. Black to play and kill the triangled group.
It's a feature with sabaki, to make it look resemble a real board more. Source: about 1 year ago
Learning to score a game.
That said, if you can download some sgfs and view them in a tool like [sabaki]((https://sabaki.yichuanshen.de/), you can try and match the score that the computer reports. You can get SGFs from here - other sources are available. Be sure to find games which were won on points. You can't count a game won by resignation. Source: over 1 year ago
Contributing to open-source go projects?
It's a shame because KGS would benefit greatly from a modern client. I think at this point writing a new client from scratch would be preferable, or maybe taking something like [Sabaki](https://sabaki.yichuanshen.de/) and turning it into a KGS client might be viable. Speaking of which, Sabaki is a good option for those looking to contribute to an open source project. Source: over 1 year ago
DeepMind's Player of Games, a general-purpose game algorithm
You can also just download pre-trained models. Get those set up and then install Sabaki (https://sabaki.yichuanshen.de/) and connect it to your KataGo... Instant (ok, a few hours probably if it's your first time setting it up) superhuman Go AI. There's even an npm package you can use to process SGF files and automatically score moves as good/questionable/bad + generate variations that were better choices:... - Source: Hacker News / over 2 years ago