NumPy vs. Roy Comparison


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About Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.	About Roy is an experimental programming language that targets JavaScript. It tries to meld JavaScript semantics with some features common in static functional languages.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Component Library solution for DevOps teams	Audience Developers searching for a small functional language that compiles to JavaScript
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NumPy numpy.org	Company Information Roy roy.brianmckenna.org
Alternatives Polars	Alternatives PureScript
h5py HDF5	JavaScript
broot	JSON
PyQtGraph	TypeScript
Dask View All	Nim View All
Categories Component Libraries Supported	Categories Programming Languages Supported

Integrations 3LC Supported Avanzai Supported Coiled Supported Cython Supported Dash Supported Flower Supported JAX Supported MPI for Python (mpi4py) Supported NVIDIA FLARE Supported PaizaCloud Supported PyCharm Supported Replit Not Supported Spyder Supported Train in Data Supported Unify AI Supported Visual Studio Code Supported Yamak.ai Supported Yandex Data Proc Supported imageio Supported scikit-learn Supported Show More Integrations View All 22 Integrations	Integrations 3LC Not Supported Avanzai Not Supported Coiled Not Supported Cython Not Supported Dash Not Supported Flower Not Supported JAX Not Supported MPI for Python (mpi4py) Not Supported NVIDIA FLARE Not Supported PaizaCloud Not Supported PyCharm Not Supported Replit Supported Spyder Not Supported Train in Data Not Supported Unify AI Not Supported Visual Studio Code Not Supported Yamak.ai Not Supported Yandex Data Proc Not Supported imageio Not Supported scikit-learn Not Supported Show More Integrations View All 1 Integration
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