post-rfc
cxx
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post-rfc | cxx | |
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27 | 97 | |
2,186 | 5,386 | |
- | - | |
2.3 | 9.3 | |
8 months ago | 4 days ago | |
Rust | ||
Creative Commons Attribution 4.0 | Apache License 2.0 |
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post-rfc
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Haskell in Production: Standard Chartered
That's what it's best for, but personally I use it for everything. If I ever get into low-level code I'll probably use Rust though.
You can confirm that parsers/tokenizers is ranked "best in class" here though:
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Recommendations for well informed, up-to-date guide to Haskell backend engineering
Note that this is ported from here: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md which comes with more exposition.
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I want to learn Haskell, but...
State of the Haskell Ecosystem
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Why are haskell applications so obscure?
According to State of the Haskell ecosystem, Haskell is THE language of choice for implementing compilers, and THE language of choice for writing parsers. Thus, it is not surprising to see more Haskell projects from those particular categories than from other categories.
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base case
This is great for understanding what libraries to use in the Haskell ecosystem: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
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Haskell for beginners
In particular, I got comfortable reading hackage documentation to understand quickly how to use libraries (aeson, megaparsec, mtl, pipes, etc), got comfortable with the ecosystem (this helped: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md), got comfortable with the main language idioms and features (https://smunix.github.io/dev.stephendiehl.com/hask/tutorial.pdf) and got comfortable with simple things that for some reason had confused me before (case, \case, let).
- What can I do in Haskell? UwU
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Haskell for Artificial Intelligence?
With that being said, Python is without a doubt the best option, and I'd also be very interested to read the articles you found that say that Python is not a good choice because it's been the industry standard for a long time now. Data science and machine learning are one of the areas where the Haskell ecosystem is not as strong as other languages, but libraries and tools do exist. There's a great list of Haskell resources by domain here, and as you can see, there are Haskell bindings to tensorflow and pytorch, along with other libraries that support common data science programming.
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Haskell - Important Libraries
State of the Haskell Ecosystem lists libraries for many of its domains.
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What are the current challenges in Numerical Programming for Haskell?
Recently saw this repo that shows the state of Haskell in a lot of programming applications. It classifies it as Immature for Numerical Programming; I would like to know what are the challenges in it.
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?
The Rust project doesn't need to have "will", people outside it can contribute to solve their own needs—such as it seems to be the case with https://cxx.rs/ .
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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?
cbindgen - A project for generating C bindings from Rust code
rust-bindgen - Automatically generates Rust FFI bindings to C (and some C++) libraries.
autocxx - Tool for safe ergonomic Rust/C++ interop driven from existing C++ headers
uniffi-rs - a multi-language bindings generator for rust
rust-cpp - Embed C++ directly inside your rust code!
ritual - Use C++ libraries from Rust
libfive - Infrastructure for solid modeling
rpm-ostree - ⚛📦 Hybrid image/package system with atomic upgrades and package layering
axolotl - A Signal compatible cross plattform client written in Go, Rust and Vuejs
gdnative - Rust bindings for Godot 3
simdutf8 - SIMD-accelerated UTF-8 validation for Rust.
btleplug - Rust Cross-Platform Host-Side Bluetooth LE Access Library