Maturin Alternatives
Similar projects and alternatives to maturin
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ormsgpack
Msgpack serialization/deserialization library for Python, written in Rust using PyO3, and rust-msgpack. Reboot of orjson. msgpack.org[Python]
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opencv-python
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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napi-rs
A minimal library for building compiled Node.js add-ons in Rust via Node-API
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Python-Rust-benchmark
Python vs Rust benchmark using a toy visual problem (linear algebra).
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Rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
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ale
Check syntax in Vim asynchronously and fix files, with Language Server Protocol (LSP) support
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tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Reviews and mentions
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Use rust code in Python with pyo3
1. The Python code calling the Rust code raises a runtime-related exception, but it doesn't crash the process.
2. Building Python extensions out of PyO3 code is easy with maturin: https://github.com/PyO3/maturin
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From Python to Rust, should I?
also, check out rust-cpython, PyO3, and maturin, among other things. They're really nice options for using Rust for its strengths and Python for its strengths within the same project.
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We just massively overdelivered on a project thanks to Rust (and Python bindings)
Thank you for the idea, opened a tracking issue in maturin: https://github.com/PyO3/maturin/issues/657
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Should I learn another language?
But if you really want to understand machine learning and related areas, you need to study linear algebra. And for this I recommend this interactive free book: immersive linear algebra. Then realize that the linear algebra routines of those Python libraries aren't written in Python itself, but rather C and Fortran for things running on CPU, and Cuda and OpenCL for things running on GPU. Here your Rust knowledge can be used, because you can write this kind of stuff in Rust instead, and use pyo3 and maturin to write Rust code that can be called from Python. So, see, your Rust knowledge isn't wasted; it's complimentary to every other thing you learn.
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How do i go about building a vidoe conferencing app?
For Python specifically, In addition to using rust-cpython or PyO3, maturin makes it really comfortable to build, package, and publish Rust code into Python packages and, if your niche doesn't quite fit, there's setuptools-python which might do it.
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Python extensions in Rust
Aside from the PyO3 and rust-cpython crates already mentioned, I'd suggest maturin as a way to integrate your build processes or possibly setuptools-rust.
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Edward Snowden endorses Rust for more secure computing
Indeed, we can easily mix Rust and Python into a single package and upload it to pypi (the repository pip installs from) with https://github.com/PyO3/maturin - also note it's compatible with pypy too (often C code in a python library is meant to run on CPython only)
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Trying to write a cross-language library
Python: PyO3 or rust-cpython plus maturin for packaging. (PyO3 was originally forked from rust-cpython to explore alternative API designs that required a nightly-channel compiler to implement)
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Should I learn and use rust?? Help!!!
Glad I could help. You'll probably also want to use maturin with them. It handles automating the building and publishing of Rust-based wheels to PyPI.
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What is an "Interface Specification" and how do you implement it?
maturin makes it really easy to build a rust-cpython or PyO3 module into a wheel so distributing a mixed Rust-Python project is no more difficult than a pure Python project as long as you upload wheels for all the platforms you want to support.
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Good use cases for Rust? I'm trying to find a reason to use Rust
Compiled modules for Python stuff (I'd recommend PyO3 but the last one I started was before that worked on stable Rust, so I used its progenitor, rust-cpython. See also maturin or setuptools-rust).
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PyO3: Rust Bindings for the Python Interpreter
If you're interested in publishing Rust libraries as Python packages (or integrating Rust code into an existing Python package), check out https://github.com/PyO3/maturin and https://github.com/PyO3/setuptools-rust.
With PyO3, I built the library to parse datetimes 10x faster than `datetime.strptime` in just a few lines of code: https://github.com/gukoff/dtparse
It just calls the Rust's chrono library that does the parsing and wraps the result in a Python object. You can do it for any Rust library, it's very, very easy!
The only slightly complicated part is the distribution. You need to use https://github.com/PyO3/maturin or https://github.com/PyO3/setuptools-rust, and of course, you need to have Rust installed on the wheel-building machine.
Feel free to use this repo as a reference if you want to build a similar thing. The code is commented, and there's a working GitHub action that builds the wheels for all platforms and uploads them to PyPi: https://github.com/gukoff/dtparse/tree/master/.github/workfl...
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PyO3/maturin is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
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