json
PyO3
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json | PyO3 | |
---|---|---|
40 | 146 | |
4,472 | 10,791 | |
2.5% | 4.4% | |
8.8 | 9.8 | |
3 days ago | 1 day ago | |
Rust | Rust | |
Apache License 2.0 | 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.
json
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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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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)
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Zig and Rust
I don't think serde-json has a limit on size. But under some usages it will allocate extra. For example see: https://github.com/serde-rs/json/issues/160#issuecomment-841... 2.4 GB file can be read and parsed with serde.
"Rust enums make defining errors so simple with arbitrary payload."
enum variants are overused in Rust and are highly expensive in memory IMHO. One tends to run into problems like: https://github.com/serde-rs/json/issues/635 in Rust projects when used at scale. Value is an enum variant: https://docs.rs/serde_json/latest/serde_json/value/enum.Valu...
Comment from that issue:
PyO3
- 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.
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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.
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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.
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Writing Python Like Rust
(2020).
Things have arguably become even nicer (although slightly more divergent between the two) since then: Python's `Optional[T]` can now be written as `T | None`, and the core container types can now be annotated directly (e.g. `List[T]` becomes `list[T]`).
Combined via pyO3[1], Python and Rust are a real joy to write together.
- 🚀 GoRules Zen Engine: Rules Engine for Node.js
What are some alternatives?
rust-cpython - Rust <-> Python bindings
pybind11 - Seamless operability between C++11 and Python
RustPython - A Python Interpreter written in Rust
serde - Serialization framework for Rust
milksnake - A setuptools/wheel/cffi extension to embed a binary data in wheels
bincode - A binary encoder / decoder implementation in Rust.
json-rust - JSON implementation in Rust
uniffi-rs - a multi-language bindings generator for rust
wasmtime - A fast and secure runtime for WebAssembly
egui - egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native
py2many - Transpiler of Python to many other languages
hjson-rust for serde - Hjson for Rust