setuptools-rust
json
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setuptools-rust | json | |
---|---|---|
5 | 41 | |
557 | 4,537 | |
1.4% | 2.6% | |
8.6 | 8.8 | |
25 days ago | 7 days ago | |
Python | Rust | |
MIT License | Apache License 2.0 |
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.
setuptools-rust
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How do i go about building a vidoe conferencing app?
For Python specifically, In addition to using rust-cpython or PyO3, maturin makes it really comfortable to build, package, and publish Rust code into Python packages and, if your niche doesn't quite fit, there's setuptools-python which might do it.
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Python extensions in Rust
Aside from the PyO3 and rust-cpython crates already mentioned, I'd suggest maturin as a way to integrate your build processes or possibly setuptools-rust.
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Good use cases for Rust? I'm trying to find a reason to use Rust
Compiled modules for Python stuff (I'd recommend PyO3 but the last one I started was before that worked on stable Rust, so I used its progenitor, rust-cpython. See also maturin or setuptools-rust).
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Can someone help me understand PyO3? I'm not sure how it works.
...but you will need to rename the generated library to match import conventions. setuptools-rust or Maturin can help with that.
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PyO3: Rust Bindings for the Python Interpreter
Between pyodide, pyo3, rust-cpython, and rustpython, I think Pyo3 is the best way to drop in rust in a python project for a speed up, if that is your goal. Some of the demos show using python from rust, but to me the biggest feature is without a doubt compiling rust code to native python modules. I'm using it to speed up image manipulation backed by numpy arrays.
There’s a setuptools rust [0] extension package that can be used to hook the compilation of the rust into the wheel building or install from source. Maturin [1] seems to be regarded as the new and improved solution for this, but I found that it’s angled toward the using python from rust.
There’s also the rust numpy [2] package by the same org which is fantastic in that it lets you pass a numpy matrix to a native method written in rust and convert it to the rust equivalent data structure, perform whatever transformation you want (in parallel using rayon [3]), and return the array. When building for release, I was seeing speed ups of 100x over numpy on the most matrix mathable function imaginable, and numpy is no joke.
I think there is a lot of potential for these two ecosystems together. If there’s not a python package for something, there’s probably a rust crate.
If anyone is interested the python package that I'm building with some rust backend, its called pyrogis [4] for making custom image manipulations through numpy arrays.
https://github.com/PyO3/setuptools-rust
json
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What even is a JSON number?
Oh wow. So serde_json doesn't roundtrip floats by default, it uses some imprecise faster algorithm https://github.com/serde-rs/json/issues/707
Good thing there's msgpack I guess.
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I pre-released my project "json-responder" written in Rust
tokio / hyper / toml / serde / serde_json / json5 / console
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Flow Updater JSON Creator
Serde JSON, an extension of the serde crate that enables the serialization and deserialization of Rust structs.
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A Simple CRUD API in Rust with Cloudflare Workers, Cloudflare KV, and the Rust Router
To serialize and deserialize data, we'll employ the popular serde crate along with serde_json. This will allow us to easily convert between Rust types and JSON when working with API requests and responses. For async operations we'll use the Rust futures crate.
- Rust devs push back as Serde project ships precompiled binaries
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Building a Rust app with Perseus
From the Cargo.toml file above, we can see that the Perseus version at the time of publication is 0.4.2 and has the following dependencies that are common to both the engine side (server-side) and client side of a Perseus application: sycamore, serde, and serde_json.
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REST API in RUST with ntex
serde_json
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Müsli - An experimental binary serialization framework with more choice
Number parsing uses a fairly naive but uses a lossless algorithm in musli-json. In serde_json they use a fork of lexical I haven't wrapped my head around. I wanted something simple to start with.
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How can I deserialise this value?
Your best best would be to use an enum. Either your own or something like the one from serde_json depending on what you are trying to do.
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Spotting and Avoiding Heap Fragmentation in Rust Apps
Don't do that if you care about memory usage. In your toy program, I wouldn't be surprised if memory usage was a lot better if you used Box instead. (even if it doesn't look like it, you can handle almost all the use cases of serde_json::Value with it, often not much less convenient)
What are some alternatives?
maturin - Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages
serde - Serialization framework for Rust
pybind11 - Seamless operability between C++11 and Python
json-rust - JSON implementation in Rust
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
hjson-rust for serde - Hjson for Rust
winsafe-examples - Examples of native Windows applications written in Rust with WinSafe.
pikkr - JSON parser which picks up values directly without performing tokenization in Rust
opencv-python - Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
serde-yaml - Strongly typed YAML library for Rust
rust-cpython - Rust <-> Python bindings
RapidJSON - A fast JSON parser/generator for C++ with both SAX/DOM style API