nle VS ghostly

Compare nle vs ghostly and see what are their differences.

nle

The NetHack Learning Environment (by facebookresearch)

ghostly

Ghostly is a simple, lightweight, and fast full-stack Go framework (by Dominic-Wassef)
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nle ghostly
15 11
932 274
0.4% -
3.7 0.0
9 days ago over 1 year ago
C Go
GNU General Public License v3.0 or later GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

nle

Posts with mentions or reviews of nle. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-26.

ghostly

Posts with mentions or reviews of ghostly. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-12.

What are some alternatives?

When comparing nle and ghostly you can also consider the following projects:

wa-tunnel - Tunneling Internet traffic over Whatsapp

Fiber - ⚡️ Express inspired web framework written in Go

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

go101 - An up-to-date (unofficial) knowledge base for Go programming self learning

LeanQt - LeanQt is a stripped-down Qt version easy to build from source and to integrate with an application.

Buffalo - Rapid Web Development w/ Go

BotHack - BotHack – A Nethack Bot Framework

pagoda - Rapid, easy full-stack web development starter kit in Go

dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.

RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

gobyexample - Go by Example