arewegameyet VS PyO3

arewegameyet

"While the ecosystem is still very young, you can find enough libraries and game engines to sink your teeth into doing some slightly experimental gamedev."

I think Rust for games has come really far. I will cite https://arewegameyet.rs/ "Almost. We have the blocks, bring your own glue.".

All the blocks are there and the language is really well suited to games.

On top of my head:

The pros:

- The crate ecosystem and the package manager makes it really easy to integrate any useful component such as pathfinding, spatial partitioning, graphics backend, audio system.. Most crates take a lot of effort to be cross-platform so I can develop on linux and not spend too much time debugging windows releases.

- The strong typing and algebraic data types makes expressing the game state very pleasant. I also found I was able to develop a very big game without too many bugs even though I don't write many tests.

- Ahead of time compilation + LLVM guarantees you won't have to optimise for weird things around a virtual machine. Rust gives you more control to optimise hot loops as you can go low-level.

- I find wgpu to be the perfect balance between ergonomics and power compared to Vulkan. OpenGL support through wgpu is also a nice addition for lower end devices.

- The Rust community is very helpful, you can often talk directly to crate maintainers

The cons:

- Compilation times, when compared to JITed languages such as C# can be very painful. It can be alleviated by buying a 3950X but I still often get 10-30s iteration times.

- The static nature of Rust means you often need a dynamism layer above to tweak stuff that can be awkward to manage. I made inline_tweak for this purpose but it's really far from how easy Unity makes it. https://github.com/Uriopass/inline_tweak

- Since Rust feels very ergonomic, you are tempted to write almost all game logic within it, so mod support feels very backwards to implement as you cannot really tweak "everything" like in Unity games. Thankfully "Systems" game like Factorio or Egregoria can be theoretically split into the "simulation" and the "entities" so mod can still have a great impact. Factorio is built in C++ so has the same problematic. Their Lua API surface is quite insane to be able to hook into everything. https://lua-api.factorio.com/latest/

Now, I have to talk about Bevy: https://bevyengine.org/. It did not exist when I started but it is a revolution in the Rust gamedev space. It is a very powerful 100% Rust game engine that makes you write game code in Rust too. It has incredible energy behind it and I feel like if I'd used Bevy from the start I wouldn't have had to develop many core engine systems. Its modular design is also incredibly pleasant as you can just replace any part you don't like with your own.

For practical uses of Rust? Whatever you want to program. People use Rust for game development, GUIs, web dev, and more. Anything where abstraction, speed, concurrency, memory safety, etc. are important, Rust will probably be a good fit.

Are we game yet? "Almost. We have the blocks, bring your own glue"

Not seeing anything else that's close to photo realistic. I'm hitting the tough bugs first all too often. More than half my time has been spent on ecosystem problems.

I also know of https://arewegameyet.rs/

Yes — and in fact, Firefox's implementation has been the go-to graphics API for folks trying to make Rust gamedev happen for a long time now. Bevy Engine's renderer is built on it, for example.

They're all/mostly websites about the state of the Rust language ecosystem. For example, can you write games in Rust (https://arewegameyet.rs/) or what's the state of the async (https://areweasyncyet.rs/)

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.