codeworld VS awesome-awesomeness

Compare codeworld vs awesome-awesomeness and see what are their differences.

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codeworld awesome-awesomeness
14 11
1,237 31,281
0.0% -
0.0 0.0
about 1 year ago 3 months ago
Haskell Ruby
Apache License 2.0 -
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.

codeworld

Posts with mentions or reviews of codeworld. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-13.

awesome-awesomeness

Posts with mentions or reviews of awesome-awesomeness. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-24.

What are some alternatives?

When comparing codeworld and awesome-awesomeness you can also consider the following projects:

Cabal - Official upstream development repository for Cabal and cabal-install

TerminusBrowser - CLI Reddit, Hacker News, 4chan, and lainchan browser

dune - A composable build system for OCaml.

conio-for-linux - Conio.h for linux

reanimate - Haskell library for building declarative animations based on SVG graphics

typescript-runtime-type-benchmarks - 📊 Benchmark Comparison of Packages with Runtime Validation and TypeScript Support

scratchjr - With ScratchJr, young children (ages 5-7) can program their own interactive stories and games.

slmenu-todo - A fork of suckless' dmenu todo for use with slmenu

haskell-template

ts-auto-guard - Generate type guard functions from TypeScript interfaces

sdl2-snake - An example application for sdl2.

Think-Python-2E-My_solutions - My solutions to the exercises contained in the "Think Python 2nd Edition" book by Allen B. Downey.