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Description
Victory provides a collection of modular charting components tailored for both React and React Native, allowing users to start quickly while maintaining high levels of flexibility. It empowers developers to craft unique data visualizations with styles and behaviors that are fully customizable. Notably, Victory employs a consistent API across both web and React Native applications, simplifying the process of creating cross-platform charts. Each visualization component is self-contained and reusable, managing its own styles and behaviors independently. Additionally, there is a React.js library that facilitates the creation of sleek presentations using JSX syntax, complete with the capability for live demonstrations of code. Furthermore, the Universal React Query Library serves as a rapid GraphQL client, presented through a series of ReactJS components, enhancing development efficiency. Lastly, a physics-based animation library for React draws inspiration from the natural world, adding dynamic movement to user interfaces.
Description
Fast and adaptable, the concepts of vectorization, indexing, and broadcasting in NumPy have become the benchmark for array computation in the present day. This powerful library provides an extensive array of mathematical functions, random number generators, linear algebra capabilities, Fourier transforms, and beyond. NumPy is compatible with a diverse array of hardware and computing environments, seamlessly integrating with distributed systems, GPU libraries, and sparse array frameworks. At its core, NumPy is built upon highly optimized C code, which allows users to experience the speed associated with compiled languages while enjoying the flexibility inherent to Python. The high-level syntax of NumPy makes it user-friendly and efficient for programmers across various backgrounds and skill levels. By combining the computational efficiency of languages like C and Fortran with the accessibility of Python, NumPy simplifies complex tasks, resulting in clear and elegant solutions. Ultimately, this library empowers users to tackle a wide range of numerical problems with confidence and ease.
API Access
Has API
API Access
Has API
Integrations
3LC
Codédex
Coiled
Cython
Dash
Gensim
GraphQL
JAX
JavaScript
MPI for Python (mpi4py)
Integrations
3LC
Codédex
Coiled
Cython
Dash
Gensim
GraphQL
JAX
JavaScript
MPI for Python (mpi4py)
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Formidable
Country
United States
Website
formidable.com/open-source/victory/
Vendor Details
Company Name
NumPy
Website
numpy.org