rust-numpy | PyO3-based Rust bindings of the NumPy C-API | GPU library
kandi X-RAY | rust-numpy Summary
kandi X-RAY | rust-numpy Summary
rust-numpy is a Rust library typically used in Hardware, GPU, Numpy applications. rust-numpy has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
[codecov] Rust bindings for the NumPy C-API.
[codecov] Rust bindings for the NumPy C-API.
Support
Quality
Security
License
Reuse
Support
rust-numpy has a medium active ecosystem.
It has 851 star(s) with 82 fork(s). There are 22 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 103 have been closed. On average issues are closed in 154 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of rust-numpy is v0.18.0
Quality
rust-numpy has 0 bugs and 0 code smells.
Security
rust-numpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
rust-numpy code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
rust-numpy is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
rust-numpy releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rust-numpy
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rust-numpy
rust-numpy Key Features
No Key Features are available at this moment for rust-numpy.
rust-numpy Examples and Code Snippets
No Code Snippets are available at this moment for rust-numpy.
Community Discussions
Trending Discussions on rust-numpy
QUESTION
How to wrap function with NDArray input and output with PyO3?
Asked 2022-Feb-18 at 07:54
I want to wrap a function that takes an one-dimensional NDArray (rust-numpy) and an usize as parameters, and returns a one-dimensional array using PyO3 to call the code from python. Unfortunately, I can't find a good example of how to deal with the arrays in PyO3. This is the code that I have so far:
...ANSWER
Answered 2022-Feb-18 at 07:54So I ended up figuring it out:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rust-numpy
You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
Support
[Latest release](https://docs.rs/numpy)[Current main](https://pyo3.github.io/rust-numpy)
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