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What is NumPy?

Quick and versatile, the principles of vectorization, indexing, and broadcasting in NumPy have established themselves as the standard for modern array computations. This robust library offers a comprehensive suite of mathematical functions, random number generation tools, linear algebra operations, Fourier transformations, and much more. NumPy's compatibility with a wide range of hardware and computing platforms allows it to work effortlessly with distributed systems, GPU libraries, and sparse array structures. At its foundation, NumPy is constructed with highly optimized C code, enabling users to benefit from the speed typical of compiled languages while still enjoying the flexibility provided by Python. The intuitive syntax of NumPy enhances its user-friendliness and efficiency for programmers of all levels and expertise. By merging the computational power of languages such as C and Fortran with Python’s approachability, NumPy streamlines complex processes, leading to solutions that are both clear and elegant. As a result, this library equips users to confidently and easily address a diverse array of numerical challenges, making it an essential tool in the world of data science and numerical analysis. Furthermore, the active community around NumPy continuously contributes to its development, ensuring that it remains relevant and powerful in the face of evolving computational needs.

What is DataViewsJS?

DataViewsJS offers a comprehensive platform that allows users to customize how their data is presented by providing an array of layouts, row templates, data fields, and user-friendly editing modes. Its advanced calculation engine empowers users to perform operations on any JSON dataset, thereby optimizing computational capabilities even for large and complex datasets. Since its launch, DataViewsJS has been designed to serve as a fast, feature-packed, and fully flexible tool for developers, facilitating effective data visualization and modifications that align with the specific needs of any JavaScript project. Additionally, it supports localization in languages such as Chinese, Japanese, and Korean, and users can easily create custom resource files to incorporate additional languages through simple scripting. The platform also simplifies the application of modern data presentation styles akin to those utilized by social media and other online platforms. By leveraging the versatile layouts offered by DataViewsJS, developers can significantly enhance user experience and engagement, ultimately leading to the creation of captivating interfaces that appeal to a wide range of users. This adaptability makes DataViewsJS a vital resource for anyone aiming to innovate in the realm of data interaction.

Media

Media

Integrations Supported

Angular
Avanzai
Coiled
Flower
Gensim
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
React
Spyder
Train in Data
Unify AI
Visual Studio Code
Vue.js
Yamak.ai
Yandex Data Proc
h5py
scikit-learn

Integrations Supported

Angular
Avanzai
Coiled
Flower
Gensim
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
React
Spyder
Train in Data
Unify AI
Visual Studio Code
Vue.js
Yamak.ai
Yandex Data Proc
h5py
scikit-learn

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$999 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NumPy

Company Website

numpy.org

Company Facts

Organization Name

GrapeCity

Date Founded

1980

Company Location

United States

Company Website

www.grapecity.com/dataviewsjs

Categories and Features

Categories and Features

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