Need advice about which tool to choose?Ask the StackShare community!

NumPy

2.9K
778
+ 1
14
React D3 Library

28
113
+ 1
0
Add tool

NumPy vs React D3 Library: What are the differences?

Developers describe NumPy as "Fundamental package for scientific computing with Python". Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. On the other hand, React D3 Library is detailed as "The easiest way to use D3.js in React". An open source library that will allow developers the ability to reroute D3 output to React’s virtual DOM. Just use your existing D3 code, and with a few simples lines, you can now harness the power of React with the flexibility of D3!.

NumPy belongs to "Data Science Tools" category of the tech stack, while React D3 Library can be primarily classified under "Charting Libraries".

NumPy and React D3 Library are both open source tools. NumPy with 11.1K GitHub stars and 3.67K forks on GitHub appears to be more popular than React D3 Library with 873 GitHub stars and 56 GitHub forks.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of NumPy
Pros of React D3 Library
  • 10
    Great for data analysis
  • 4
    Faster than list
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    What is NumPy?

    Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

    What is React D3 Library?

    An open source library that will allow developers the ability to reroute D3 output to React’s virtual DOM. Just use your existing D3 code, and with a few simples lines, you can now harness the power of React with the flexibility of D3!

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use NumPy?
    What companies use React D3 Library?
    See which teams inside your own company are using NumPy or React D3 Library.
    Sign up for StackShare EnterpriseLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with NumPy?
    What tools integrate with React D3 Library?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    GitHubPythonReact+42
    49
    40782
    What are some alternatives to NumPy and React D3 Library?
    Pandas
    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
    MATLAB
    Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
    R Language
    R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
    SciPy
    Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
    Panda
    Panda is a cloud-based platform that provides video and audio encoding infrastructure. It features lightning fast encoding, and broad support for a huge number of video and audio codecs. You can upload to Panda either from your own web application using our REST API, or by utilizing our easy to use web interface.<br>
    See all alternatives