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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

Rio is an open source Python framework that enables developers to build modern web and desktop applications entirely in Python. Inspired by frameworks like React and Flutter, Rio introduces a declarative UI model where components are defined as Python data classes with a build() method, allowing for reactive state management and seamless UI updates. It includes over 50 built-in components adhering to Google's Material Design, facilitating the creation of professional-grade interfaces. Rio's layout system is Pythonic and intuitive, calculating each component's natural size before distributing available space, eliminating the need for traditional CSS. Developers can run applications locally or in the browser with the backend powered by FastAPI and communication handled via WebSockets.

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

Anyone searching for a solution to build full-stack web and desktop applications

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 Supported

Screenshots and Videos

Screenshots and 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

Rio
Founded: 2024
Germany
rio.dev/

Alternatives

Alternatives

h5py

h5py

HDF5
Reflex

Reflex

Pynecone
FastAPI

FastAPI

3.0 out of 5 stars
Solara

Solara

Widgetti BV

Categories

Categories

Integrations

Avanzai Supported
Codédex Supported
Coiled Supported
Cython Supported
Dash Supported
FastAPI Not Supported
Flower Supported
Gensim Supported
JAX Supported
MPI for Python (mpi4py) Supported
NVIDIA FLARE Supported
PaizaCloud Supported
Python Not Supported
Spyder Supported
Train in Data Supported
Unify AI Supported
Visual Studio Code Supported
Yandex Data Proc Supported
h5py Supported
scikit-learn Supported

Integrations

Avanzai Not Supported
Codédex Not Supported
Coiled Not Supported
Cython Not Supported
Dash Not Supported
FastAPI Supported
Flower Not Supported
Gensim Not Supported
JAX Not Supported
MPI for Python (mpi4py) Not Supported
NVIDIA FLARE Not Supported
PaizaCloud Not Supported
Python Supported
Spyder Not Supported
Train in Data Not Supported
Unify AI Not Supported
Visual Studio Code Not Supported
Yandex Data Proc Not Supported
h5py Not Supported
scikit-learn Not Supported
Claim NumPy and update features and information
Claim NumPy and update features and information
Claim Rio and update features and information
Claim Rio and update features and information