foundation.rust-lang.org VS PyO3

Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).

This is why some of the bigger programming languages have a consortium behind them, dedicated to maintaining the language and making decisions for its continued improvement. When you look at the logos at the bottom of the Rust Foundation page, you can see some pretty big names.

The Rust foundation, which is a nonprofit general (delaware) corporation with bylaws, employees, a normal legal existence. It owns the trademarks and domain names, acts as a legal and administrative point of contact when one is needed, and has I think operational and funding responsibility for infrastructure (crates.io, CI, etc.) The foundation has members which are almost all corporate sponsors who donate money (and sometimes people) to further its mandate. There's a fairly broad set of companies involved here: Microsoft, Google, Amazon, Meta, Huawei, etc. etc.

When you say enterprise, who do you mean? Rust is absolutely being pushed by faang et al for example. Just look at the bottom of the Rust foundation page[0]. You do not see this support for things like Nim or Julia[1].

[0] https://foundation.rust-lang.org/

The Rust language is supported by the Rust Foundation, more details on that website. Financial donors to the Rust Foundation are about 30-40 companies currently, the bigger ones include Mozilla, Google, Microsoft, AWS, and Meta

> https://foundation.rust-lang.org/ 15,000

With all due respect, they don't need this money. Rust is a great project, and deserving, but they already have plenty of sponsors.

I would have rather seen 150 x $100 go to smaller projects. So much great software is being written, by people who are barely scraping by, and even $100 could be the motivation for someone to finish something widely useful.

So, let's clarify a couple things first about how the Rust and Cargo crates work. First off, there is no single company or entity who's the sole contributor to the core Rust tooling. Rust is an open source project to which anyone can view the codebase and contribute (though there's a select set of people who are responsible for approving changes to it and managing releases). It's worth noting this doesn't mean there isn't an organization responsible for the project however. The Rust Foundation are a non-profit who manages the core repositories and tooling, and is also responsible for setting high level goals for the language.

I don't think it is the same as Java. There is no single company owning Rust. Several big companies are investing in rust foundation (https://foundation.rust-lang.org/) including Google in particular which had quite a story regarding Java.

Recently, several big techs like Google, Microsoft, Mozilla and Amazon jointly launched a non-profit organization to help the language maintain itself by giving full support to the maintainers who lead and develop the project. Here at Vaultree we use Rust in our product and services, as we need to deliver data with reliability and agility to our customers, as we are in a business line where any error or inaccuracy can be costly, the adoption of Rust was a great fit for us.

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

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.

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

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

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

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.

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.