maturin
json
Our great sponsors
maturin | json | |
---|---|---|
37 | 41 | |
3,232 | 4,537 | |
5.8% | 2.6% | |
9.4 | 8.8 | |
6 days ago | 7 days ago | |
Rust | Rust | |
Apache License 2.0 | 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.
maturin
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In Rust for Python: A Match from Heaven
This story unfolds as a captivating journey where the agile Flounder, representing the Python programming language, navigates the vast seas of coding under the wise guidance of Sebastian, symbolizing Rust. Central to their adventure are three powerful tridents: cargo, PyO3, and maturin.
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Feedback from calling Rust from Python
-- Maturin on GitHub
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Some Reasons to Avoid Cython
My new favorite way to write very fast libraries for Python is to just use Rust and Maturin:
https://github.com/PyO3/maturin
It basically automates everything for you. If you use it with Github actions, it will compile wheels for you on each release for every platform and python version you want, and even upload them to PyPi (pip) for you. Everything feels very modern and well thought out. People really care about good tooling in the Rust world.
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Which programming language to focus on for my PhD journey in bioinformatics?
Python first, you will be able to experiment quickly with the notebooks. Then maybe write (or rewrite) some modules in Rust that you can expose as python modules, with py03 and maturin. Feel free to publish useful packages on both crates.io and pypi.org, so you can contribute to Python and Rust ecosystems.
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python to rust migration
Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.
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Ask HN: Is it worth it for me to learn Go or Rust as a Data Engineer?
It's relatively easy to extend Python with project like Py03[0] and Maturin[1]. Polars[2] is the perfect example of that.
It's not easy to push coworkers/companies to use an unfamiliar language. Rust isn't fast to learn. You need very good arguments and a good usecase to make it works.
I doubt that learning Rust will help you more that learning more about the data engineers tools, so this isn't really "worth" your time.
[0] -- https://pyo3.rs/v0.18.3/
[1] -- https://github.com/PyO3/maturin
[2] -- https://www.pola.rs/
- Rust CLI app installable via PIP?
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Blog Post: Making Python 100x faster with less than 100 lines of Rust
In this case, PyO3/maturin does all the setup and getting the module into Python. They also have docs going into a lot more depth on this.
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Is Rust faster than Python out of the box
Lastly if you're willing to introduce Rust, I'd consider a gradual approach using native libraries built in rust with PYO3. Check the maturin guide that helps you to streamline the build process of native libraries : https://github.com/PyO3/maturin . From there you could try to find hotspots in your python app and replace those with a native implementation.
- sccache now supports GHA as backend
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?
Poetry - Python packaging and dependency management made easy
serde - Serialization framework for Rust
setuptools-rust - Setuptools plugin for Rust support
json-rust - JSON implementation in Rust
termux-packaging - Termux packaging tools.
hjson-rust for serde - Hjson for Rust
PyOxidizer - A modern Python application packaging and distribution tool
pikkr - JSON parser which picks up values directly without performing tokenization in Rust
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
serde-yaml - Strongly typed YAML library for Rust
pybind11 - Seamless operability between C++11 and Python
RapidJSON - A fast JSON parser/generator for C++ with both SAX/DOM style API