DaemonMode.jl
cxx
DaemonMode.jl | cxx | |
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22 | 97 | |
269 | 5,527 | |
- | - | |
4.7 | 9.3 | |
5 months ago | 7 days ago | |
Julia | Rust | |
MIT License | Apache License 2.0 |
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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 time…
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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.
cxx
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Rust is having a positive effect in C/C++
There are cxx and autocxx, what else do you propose to do?
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Interoperability: Swift’s Super Power
I would like to see a comparison of how this compares to Rust. In terms of interoperability it has Cxx (https://cxx.rs) to offer safe bindings to C++ but also has great support for Android, Linux and many other systems. You don't even need to hack together Windows bindings (as explained in the blog post) because Microsoft offers official bindings (https://crates.io/crates/windows). I'm not sure if I'd call it a superpower if any potential interoperability has to be written to be used (compared to it already being available). Or rather, in comparison to what is interoperability a Swift superpower? Certainly not C++ or C which can be used in a far wider set of targets.
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Rust Cryptography Should Be Written in Rust
We selected Qt as a cross-platform solution. The C++/Rust interface is the clunkiest and ugliest part of the application, and rather complex because some state is shared between several windows in the GUI and several threads in the backend, and any component might modify that state at any time, and updates have to be transmitted to the other components without introducing inconsistencies. Using cxx [1] helped a little, though.
The project began in 2020, and I'm not sure what I'd choose as a GUI framework today – definitely not Qt Widgets, though.
[1] https://cxx.rs/
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Link a C static library to rust cargo project
If the build process for the C library isn't too involved I recommend using cxx bridge (https://cxx.rs/) and letting cargo handle the build and linking. cxx basically allows you to describe the bidirectional interface (although it sounds like you only need 1 direction, which is fine too) in Rust code and it provides a "good enough" API for compiling C code inside the build.rs file.
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ffizz: Build a Beautiful C API in Rust
The tooling for the first kind -- calling Rust from another language -- is a bit less developed, and tends to rely on code generation that doesn't necessarily produce a natural C API. cbindgen, uniffi, cxx, and Diplomat all take this course.
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Best practices in creating a Rust API for a C++ library? Seeking advice from those who've done it before.
I would like to utilize OMPL's functionality in Rust code, so I want to call into OMPL C++ code somehow in Rust. I've seen two (non-mutually-exclusive) options so far: - rust-cpp, which allows you to write C++ code in Rust within the cpp!() macro. - cxx, which allows you to define both sides of the FFI boundary manually (as opposed to bindgen's automatic generation).
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Hey Rustaceans! Got a question? Ask here (20/2023)!
I'm not sure how to do this in cxx; issues like https://github.com/dtolnay/cxx/issues/447 suggest that this isn't settled yet?
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Hello r/Rust! We are Meta Engineers who created the Open Source Buck2 Build System! Ask us anything! [Mod approved]
I use non-vendored dependencies for the Buck build in https://github.com/dtolnay/cxx.
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Microsoft is rewriting core Windows libraries in Rust
There's also the cpp and cxx crates for doing C++/Rust interop, but they probably aren't appropriate to use in all cases. The C ABI is definitely the safest way to go unless you're really trying to marry Rust and C++ code bases, not just writing library bindings.
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How can I use rust libraries in C++
There's also cxx (can't vouch for it personally but it claims to make things a lot easier) https://github.com/dtolnay/cxx
What are some alternatives?
julia - The Julia Programming Language
cbindgen - A project for generating C bindings from Rust code
Makie.jl - Interactive data visualizations and plotting in Julia
rust-bindgen - Automatically generates Rust FFI bindings to C (and some C++) libraries.
HTTP.jl - HTTP for Julia
autocxx - Tool for safe ergonomic Rust/C++ interop driven from existing C++ headers
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
uniffi-rs - a multi-language bindings generator for rust
julia-numpy-fortran-test - Comparing Julia vs Numpy vs Fortran for performance and code simplicity
rust-cpp - Embed C++ directly inside your rust code!
DataFramesMeta.jl - Metaprogramming tools for DataFrames
ritual - Use C++ libraries from Rust