hyper
PyO3
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hyper | PyO3 | |
---|---|---|
97 | 147 | |
13,821 | 10,997 | |
1.7% | 4.4% | |
9.2 | 9.8 | |
about 22 hours ago | 1 day ago | |
Rust | Rust | |
MIT License | GNU General Public License v3.0 or later |
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.
hyper
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The Linux Kernel Prepares for Rust 1.77 Upgrade
> If you are equally picky and constrain yourself to parts of the ecosystem which care about binary size, you still have more options and can avoid size issues.
What's an example of this for, say, libcurl? On my system it has a tiny number of recursive dependencies, around a dozen. [0] Furthermore if I want to write a C program that uses libcurl I have to download zero bytes of data ... because it's a shared library that is already installed on my system, since so many programs already use it.
I don't really know the appropriate comparison for Rust. reqwest seems roughly comparable, but it's an HTTP client library, and not a general purpose network client like curl. Obviously curl can do a lot more. Even the list of direct dependencies for reqwest is quite long [1], and it's built on top of another http library [2] that has its own long list of dependencies, a list that includes tokio, no small library itself.
In terms of final binary size, the installed size of the curl package on my system, which includes both the command line tool and development dependencies for libcurl, is 1875.03 KiB.
[0] I'm excluding the dependency on the ca-certificates package, since this only provides the certificate chain for TLS and lots of programs rely on it.
[1] https://crates.io/crates/reqwest/0.11.24/dependencies
[2] https://crates.io/crates/hyper/0.14.28/dependencies
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json-responder 1.1: dynamic path resolution
hyper-based HTTP server generating JSON responses. Written in Rust.
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I pre-released my project "json-responder" written in Rust
tokio / hyper / toml / serde / serde_json / json5 / console
- How Turborepo is porting from Go to Rust
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Signway - a pre-signed URLs gateway written in rust, specifically designed for allowing LLM based client apps to directly query OpenAI's api securely.
Using Rust here was immensely helpful, using libraries made by the community like https://github.com/hyperium/hyper really powered up the development of Signway, so glad to see this kind of awesome crates made public. Hope that it continues to be like that despite the current controversies.
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Problem with YouTube embed thumbnail...
- Discord sends a slightly weird request by specifying content length (a bug in hyper we've not yet upgraded to fix, https://github.com/hyperium/hyper/commit/fb90d30c02d8f7cdc9a643597d5c4ca7a123f3dd)
- Hyper – A fast and correct HTTP implementation for Rust
PyO3
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Encapsulation in Rust and Python
Integrating Rust into Python, Edward Wright, 2021-04-12 Examples for making rustpython run actual python code Calling Rust from Python using PyO3 Writing Python inside your Rust code — Part 1, 2020-04-17 RustPython, RustPython Rust for Python developers: Using Rust to optimize your Python code PyO3 (Rust bindings for Python) Musing About Pythonic Design Patterns In Rust, Teddy Rendahl, 2023-07-14
- Rust Bindings for the Python Interpreter
- Polars – A bird's eye view of Polars
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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.
- Segunda linguagem
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Calling Rust from Python
I would not recommend FFI + ctypes. Maintaining the bindings is tedious and error-prone. Also, Rust FFI/unsafe can be tricky even for experienced Rust devs.
Instead PyO3 [1] lets you "write a native Python module in Rust", and it works great. A much better choice IMO.
[1] https://github.com/PyO3/pyo3
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Python 3.12
Same w/ Rust and Python, this is really neat because now each thread could have a GIL without doing exactly what you said. The pyO3 commit to allow subinterpreters was merged 21 days ago, so this might "just work" today: https://github.com/PyO3/pyo3/pull/3446
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Removing Garbage Collection from the Rust Language (2013)
I expected someone to write a rust-based scripting language which tightly integrated with rust itself.
In reality, it seems like the python developers and toolchain are embracing rust enough to reduce the benefits to a new alternative.
https://github.com/PyO3/pyo3
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Bytewax: Stream processing library built using Python and Rust
Hey HN! I am one of the people working on Bytewax. Bytewax came out of our experience working with ML infrastructure at GitHub. We wanted to use Python because we could move fast, the team was very fluent in it, and the rest of our tooling was Python-native already. We didn't want to introduce JVM-based solutions into our stack because of the lack of experience and the friction we had trying to get Python-centric tooling working with existing solutions like Flink.
In our research, we found Timely Dataflow (https://timelydataflow.github.io/timely-dataflow/, https://news.ycombinator.com/item?id=24837031) and the Naiad project (https://www.microsoft.com/en-us/research/project/naiad/) as well as PyO3 (https://github.com/PyO3/pyo3) and we thought we found a match made in heaven :). Bytewax leverages both of these projects and builds on them to provide a clean API (at least we think so) and table stakes features like connectors, state recovery, and cloud-native scaling. It has been really cool to learn about the dataflow computation model, Rust, and how to wrangle the GIL with Rust and Python :P.
Would love to get your feedback :).
`pip install bytewax` to get started. We have a page of guides (https://www.bytewax.io/guides) with ready-to-run examples.
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Tell HN: Rust Is the Superglue
You can practice your Rust skills by writing performant and/or gluey extensions for higher-level language such as NodeJS (checkout napi-rs) and Python or complementing JS in the browser if you target Webassembly.
For instance, checkout Llama-node https://github.com/Atome-FE/llama-node for an involved Rust-based NodeJS extension. Python has PyO3, a Rust-Python extension toolset: https://github.com/PyO3/pyo3.
They can help you leverage your Rust for writing cool new stuff.
What are some alternatives?
reqwest - An easy and powerful Rust HTTP Client
rust-cpython - Rust <-> Python bindings
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
pybind11 - Seamless operability between C++11 and Python
Warp - Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.
RustPython - A Python Interpreter written in Rust
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
milksnake - A setuptools/wheel/cffi extension to embed a binary data in wheels
Rocket - A web framework for Rust.
bincode - A binary encoder / decoder implementation in Rust.
curl-rust - Rust bindings to libcurl
uniffi-rs - a multi-language bindings generator for rust