fib
maturin
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fib
- Not only Clojure – Chez Scheme: Lisp with native code speed
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Is Rust faster than Python out of the box
I've typically found rust to be about 100x faster than Python for the projects I've ported. This is consistent with https://github.com/drujensen/fib.
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Speed & LSP
Here is a similar benchmark but includes compile times. https://github.com/drujensen/fib
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Elixir Protocols vs. Clojure Multimethods
How? Do you mean how do I know it's slow? Because it takes longer to run.
Write a typical computation such as Fibonacci in Java and Erlang/Elixir and compare. Fortunately someone has already done this.
Elixir is 3x slower than C and 2x slower than Java for this single thread example.
https://github.com/drujensen/fib
Apparently this upsets people for me to point this out. However, I did not say that Elixir was slow in general or a bad choice. It's an excellent choice for problems which suit parallelization or which require reliable, consistent performance.
Since the parent poster had commented that adding this multi-module dispatch would not be performant, I merely pointed out that the single thread peformance was already slow (as in, why worry too much about the performance cost of the multi dispatch suggestion).
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I created a GitHub repo of some simple benchmarks to test different programming languages. Feel free to add more languages!
Is there some advantage over repos that also show the results ?
maturin
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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.
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Feedback from calling Rust from Python
-- Maturin on GitHub
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Some Reasons to Avoid Cython
My new favorite way to write very fast libraries for Python is to just use Rust and Maturin:
https://github.com/PyO3/maturin
It basically automates everything for you. If you use it with Github actions, it will compile wheels for you on each release for every platform and python version you want, and even upload them to PyPi (pip) for you. Everything feels very modern and well thought out. People really care about good tooling in the Rust world.
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Which programming language to focus on for my PhD journey in bioinformatics?
Python first, you will be able to experiment quickly with the notebooks. Then maybe write (or rewrite) some modules in Rust that you can expose as python modules, with py03 and maturin. Feel free to publish useful packages on both crates.io and pypi.org, so you can contribute to Python and Rust ecosystems.
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python to rust migration
Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.
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Ask HN: Is it worth it for me to learn Go or Rust as a Data Engineer?
It's relatively easy to extend Python with project like Py03[0] and Maturin[1]. Polars[2] is the perfect example of that.
It's not easy to push coworkers/companies to use an unfamiliar language. Rust isn't fast to learn. You need very good arguments and a good usecase to make it works.
I doubt that learning Rust will help you more that learning more about the data engineers tools, so this isn't really "worth" your time.
[0] -- https://pyo3.rs/v0.18.3/
[1] -- https://github.com/PyO3/maturin
[2] -- https://www.pola.rs/
- Rust CLI app installable via PIP?
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Blog Post: Making Python 100x faster with less than 100 lines of Rust
In this case, PyO3/maturin does all the setup and getting the module into Python. They also have docs going into a lot more depth on this.
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Is Rust faster than Python out of the box
Lastly if you're willing to introduce Rust, I'd consider a gradual approach using native libraries built in rust with PYO3. Check the maturin guide that helps you to streamline the build process of native libraries : https://github.com/PyO3/maturin . From there you could try to find hotspots in your python app and replace those with a native implementation.
- sccache now supports GHA as backend
What are some alternatives?
nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir
Poetry - Python packaging and dependency management made easy
svix-webhooks - The enterprise-ready webhooks service 🦀
setuptools-rust - Setuptools plugin for Rust support
tangram - Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
termux-packaging - Termux packaging tools.
natalie - a work-in-progress Ruby compiler, written in Ruby and C++
PyOxidizer - A modern Python application packaging and distribution tool
Game-Of-Life-Implementations - Conway's Game of Life implementation in various languages
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
protocol_ex - Elixir Extended Protocol
pybind11 - Seamless operability between C++11 and Python