| ofuton | jlrs | |
|---|---|---|
| 1 | 9 | |
| 11 | 393 | |
| - | - | |
| 10.0 | 8.1 | |
| over 6 years ago | 6 months ago | |
| Rust | Rust | |
| Apache License 2.0 | MIT License |
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.
ofuton
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Question: How well-suited is using Rust for complicated mathematics?
It's not terribly difficult to build a multidimensional FFT on top of it, although to your point first-class support would be nice
jlrs
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Question: How well-suited is using Rust for complicated mathematics?
And in the rare case that Julia isn't enough, Julia-Rust interop is pretty good! Julia can call Rust using ccall and Rust can call Julia using the jlrs crate.
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jlrs 0.17: GAT-powered generic targets, Julia 1.9 support, build improvements, and more!
Github
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Julia is missing 'pycall' for Rust
While there is Jlrs , there is no seamless and easy way to call Rust. We need 'rustcall' on a level of 'pycall'.
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What's everyone working on this week (43/2022)?
I have a roadmap issue with some ideas/designs/arguments https://github.com/Taaitaaiger/jlrs/issues/66
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I don't want to abandon Rust for Julia
An option for Julia/Rust interop is jlrs
- How to interact Julia and Rust?
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I'm considering Rust, Go, or Julia for my next language and I'd like to hear your thoughts on these
jlrs automates some of this, using stack frames to garantee that Julia won't gc the references you're holding in Rust. It also provides ways to coerce Rust structs into Julia structs, and it does a bunch of other stuff I'm probably forgetting.
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jlrs 0.9: Julia 1.6 support
Github
What are some alternatives?
crates.io - The Rust package registry
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
evcxr
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
PackageCompiler.jl - Compile your Julia Package
RCall.jl - Call R from Julia
juliaup - Julia installer and version multiplexer
AreWeRustYet - Awesome list of "Are We *thing* Yet" for Rust
enso - Hybrid visual and textual functional programming.
ide - Enso – a visual and textual functional programming language.
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
clipboard-viewer - Inspect the system clipboard on various OSs 📋