lila-openingexplorer VS listudy

Compare lila-openingexplorer vs listudy and see what are their differences.

lila-openingexplorer

Opening explorer for lichess.org that can handle all the variants and trillions of unique positions (by lichess-org)

listudy

Listudy - chess training server (by ArneVogel)
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lila-openingexplorer listudy
4 34
127 262
1.6% -
8.0 4.5
about 2 months ago 11 months ago
Rust Elixir
GNU Affero General Public License v3.0 GNU Affero General Public License v3.0
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.

lila-openingexplorer

Posts with mentions or reviews of lila-openingexplorer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-21.

listudy

Posts with mentions or reviews of listudy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-10.

What are some alternatives?

When comparing lila-openingexplorer and listudy you can also consider the following projects:

api - Lichess API documentation and examples

lichobile - lichess.org mobile application

chessmadra-frontend

exomind - A personal knowledge management tool hosted on your own personal cloud

CubeSimRS - Rust based Rubik's Cube simulation and solving library.

stockfish.wasm - WebAssembly port of the strong chess engine Stockfish

hotwire - Hotwire allows you to study network traffic of a few popular protocols in a simple way

lila - ♞ lichess.org: the forever free, adless and open source chess server ♞

scraper - Nodejs web scraper. Contains a command line, docker container, terraform module and ansible roles for distributed cloud scraping. Supported databases: SQLite, MySQL, PostgreSQL. Supported headless clients: Puppeteer, Playwright, Cheerio, JSdom.

Arthur - How to build your own AI art installation from scratch [Moved to: https://github.com/maxvfischer/DIY-ai-art]