jlrs
DaemonMode.jl
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jlrs | DaemonMode.jl | |
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9 | 22 | |
393 | 269 | |
- | - | |
8.1 | 4.7 | |
5 months ago | 4 months ago | |
Rust | Julia | |
MIT License | 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.
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
DaemonMode.jl
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Potential of the Julia programming language for high energy physics computing
Thats for an entry point, you can search `Base.@main` to see a little summary of it. Later it will be able to be callable with `juliax` and `juliac` i.e. `~juliax test.jl` in shell.
DynamicalSystems looks like a heavy project. I don't think you can do much more on your own. There have been recent features in 1.10 that lets you just use the portion you need (just a weak dependency), and there is precompiletools.jl but these are on your side.
You can also look into https://github.com/dmolina/DaemonMode.jl for running a Julia process in the background and do your stuff in the shell without startup time until the standalone binaries are there.
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Julia 1.9.0 lives up to its promise
> If I were to use e.g. Rust with polars, load time would be virtually none.
Because you're compiling...
And if you need to do the same in Julia, you should also pre-compile or some other method like https://github.com/dmolina/DaemonMode.jl (their demo shows loading a database, with subsequent loads after the first one taking roughly ~0.2% of the first)
- Administrative Scripting with Julia
- GNU Octave 8.1
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Ask HN: Why is Julia so underrated?
Well, not nicely certainly, but:
https://github.com/dmolina/DaemonMode.jl
> portable
Neither is python - it just relies on universal availability. Over timeā¦
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Is Julia suitable today as a scripting language?
You can get around a lot of these problems with DaemonMode.jl though.
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Julia performance, startup.jl, and sysimages
You might want DaemonMode.jl
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Can I execute code in Julia REPL if I'm connected to a remote server?
https://github.com/dmolina/DaemonMode.jl can possibly help in the future. Leaving it here so that people know this is planned.
- Ask HN: Why hasn't the Deep Learning community embraced Julia yet?
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Compile for faster execution?
If you strongly prefer to run scripts though, then you can use the package https://github.com/dmolina/DaemonMode.jl in order to re-use a Julia session between multiple scripts, saving you recompilation time.
What are some alternatives?
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
julia - The Julia Programming Language
PackageCompiler.jl - Compile your Julia Package
Makie.jl - Interactive data visualizations and plotting in Julia
RCall.jl - Call R from Julia
HTTP.jl - HTTP for Julia
juliaup - Julia installer and version multiplexer
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
AreWeRustYet - Awesome list of "Are We *thing* Yet" for Rust
julia-numpy-fortran-test - Comparing Julia vs Numpy vs Fortran for performance and code simplicity
enso - Hybrid visual and textual functional programming.
DataFramesMeta.jl - Metaprogramming tools for DataFrames