Graphite VS rawr

Compare Graphite vs rawr and see what are their differences.

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Graphite rawr
46 -
6,831 26
22.1% -
9.6 0.0
3 days ago over 2 years ago
Rust Haskell
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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.

Graphite

Posts with mentions or reviews of Graphite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-02.

rawr

Posts with mentions or reviews of rawr. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning rawr yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Graphite and rawr you can also consider the following projects:

egui - egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native

graphite - Haskell graphs and networks library

Method-Draw - Method Draw, the SVG Editor for Method of Action

vinyl - Extensible Records for Haskell. Pull requests welcome! Come visit us on #vinyl on freenode.

GimelStudio - Non-destructive, node based 2D image editor with an API for custom nodes

naperian - Efficient representable functors

Gimel-Studio - Old repo of the node-based image editor. See https://github.com/GimelStudio/GimelStudio for the next generation of Gimel Studio :rocket:

monadic-arrays - MArray instances for monad transformers

bevy - A refreshingly simple data-driven game engine built in Rust

nonemptymap - NonEmpty Map Libary

burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]

heaps - Asymptotically optimal Brodal/Okasaki heaps