tamago
PyO3
tamago | PyO3 | |
---|---|---|
13 | 147 | |
1,277 | 11,044 | |
0.9% | 2.3% | |
8.3 | 9.8 | |
10 days ago | 3 days ago | |
Go | Rust | |
BSD 3-clause "New" or "Revised" 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.
tamago
- Gokrazy – Go Appliances
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OS in Go? Why Not
There's two major production-ready Go-based operating system(-ish) projects:
- Google's gVisor[1] (a re-implementation of a significant subset of the Linux syscall ABI for isolation, also mentioned in the article)
- USBArmory's Tamago[2] (a single-threaded bare-metal Go runtime for SOCs)
Both of these are security-focused with a clear trade off: sacrifice some performance for memory safe and excellent readability (and auditability). I feel like that's the sweet spot for low-level Go - projects that need memory safety but would rather trade some performance for simplicity.
[1]: https://github.com/google/gvisor
[2]: https://github.com/usbarmory/tamago
- Does Go work well as a systems language?
- Koji vam je sitan bug najviše ostao upamćen?
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Rust 2024 the Year of Everywhere?
Of course it can, there are companies shipping products written in bare metal Go.
https://www.withsecure.com/en/solutions/innovative-security-...
https://github.com/usbarmory/tamago
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Embedded Go finally got the first binary release
For comparison, what are the differences in goals and approach with Tamago? https://github.com/usbarmory/tamago
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Taking a deep dive into C++ gave me more appreciation for Go's simplicity
I've been keeping an eye on TinyGo (Go compiler that targets microcontrollers and uses LLVM) and also TamaGo (allows you to run Go on bare metal, without any C dependency).
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A native Go userland for your Raspberry Pi 3 or 4 appliances
If you want to go deeper, there is also bare-metal Go runtime for rpi (among others): https://github.com/f-secure-foundry/tamago
- TamaGo – bare metal Go for ARM SoCs
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ISO C became unusable for operating systems development
> just proves your lack of knowledge
Tone is not needed.
For TamaGo, it seems to allow developers run their application, not build an OS on the hardware. But I have not played with it, you are right.
> TamaGo is a framework that enables compilation and execution of unencumbered Go applications on bare metal
The environment does not seem to allow building a generic operating system [1]. F-Secure ported the runtime itself to boot natively. But please correct me.
> There is no thread support
The environment you run in is specifically curated for Go applications, such as the memory layout. I'd call this an "appliance" rather than enabling Go to be used for full-fledged generic operating system implementations.
[1] https://github.com/f-secure-foundry/tamago/wiki/Internals
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?
nerves - Craft and deploy bulletproof embedded software in Elixir
rust-cpython - Rust <-> Python bindings
gokrazy - turn your Go program(s) into an appliance running on the Raspberry Pi 3, Pi 4, Pi Zero 2 W, or amd64 PCs!
pybind11 - Seamless operability between C++11 and Python
checkedc - Checked C is an extension to C that lets programmers write C code that is guaranteed by the compiler to be type-safe. The goal is to let people easily make their existing C code type-safe and eliminate entire classes of errors. Checked C does not address use-after-free errors. This repo has a wiki for Checked C, sample code, the specification, and test code.
RustPython - A Python Interpreter written in Rust
usbarmory - USB armory - The open source compact secure computer
milksnake - A setuptools/wheel/cffi extension to embed a binary data in wheels
go - The Go programming language with support for bare-matal programing
bincode - A binary encoder / decoder implementation in Rust.
linux - Linux kernel source tree
uniffi-rs - a multi-language bindings generator for rust