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nteract VS Wolfram Mathematica

Compare nteract VS Wolfram Mathematica and see what are their differences

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nteract logo nteract

nteract is a desktop application that allows you to develop rich documents that contain prose...

Wolfram Mathematica logo Wolfram Mathematica

Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.
  • nteract Landing page
    Landing page //
    2022-06-29
  • Wolfram Mathematica Landing page
    Landing page //
    2022-08-07

nteract features and specs

  • Ease of Use
    nteract offers a user-friendly interface that is simple to set up and use, making it accessible to both beginners and experienced users in data science environments.
  • Interactivity
    The tool provides an interactive experience for running live code, displaying text, and visualizing data efficiently within a single notebook interface.
  • Multi-language Support
    nteract supports multiple programming languages, thanks to Jupyter kernels, which allows flexibility and integration within various data science workflows.
  • Open Source
    Being open source, nteract encourages community contributions and improvements, offering a level of transparency and customization to its users.
  • Extensibility
    The presence of numerous plugins and extensions enables users to enhance the functionality of nteract based on their specific requirements.

Possible disadvantages of nteract

  • Dependency Management
    Managing dependencies can be complex, as users need to handle different libraries and packages to ensure compatibility within their projects.
  • Limited Advanced Features
    Compared to other IDEs, nteract may lack some advanced features required by professional developers for large, intricate projects.
  • Performance Issues
    nteract may experience performance issues when managing large datasets or complex computations due to the resource-intensive nature of notebooks.
  • Learning Curve for Extensions
    While extensibility is a pro, understanding and integrating numerous plugins and extensions can present a learning curve for new users.
  • Community and Documentation
    Although growing, the nteract community and available documentation might not be as extensive as more established platforms like Jupyter Notebook.

Wolfram Mathematica features and specs

  • Comprehensive Functionality
    Wolfram Mathematica offers a broad range of functions in various domains such as numerical computations, symbolic calculations, data visualization, and more.
  • High-Level Programming Language
    The Wolfram Language is a powerful, high-level programming language specifically designed for symbolic computation and algorithmic development.
  • Integrated System
    Mathematica integrates computation, visualization, and data seamlessly, providing an all-in-one system for technical computing.
  • Strong Community & Support
    Mathematica has a robust community of users and excellent support resources, including extensive documentation, user forums, and direct support.
  • Real-World Data Integration
    Integrated access to the Wolfram Knowledgebase allows users to import a vast array of real-world data directly into computations.
  • Interactive Notebooks
    Mathematica's notebook interface allows for interactive document creation, combining calculations, visualizations, narratives, and interactive controls.

Possible disadvantages of Wolfram Mathematica

  • High Cost
    Mathematica is quite expensive, especially for individual users and small businesses, with substantial licensing fees.
  • Steep Learning Curve
    The software can be difficult to learn for beginners due to its high-level and feature-rich environment.
  • Performance Limitations
    For certain large-scale numerical computations or simulations, Mathematica may underperform compared to specialized numerical software.
  • Closed Source
    Unlike some other computational tools, Mathematica is not open-source, which can be a disadvantage for those who prefer open-source software for flexibility and transparency.
  • Version Compatibility
    There are sometimes compatibility issues between different versions of Mathematica, which can cause problems when sharing code and documents between users with different versions.
  • Hardware Requirements
    Mathematica can be resource-intensive and may require high-performance hardware to run efficiently, especially for complex tasks.

nteract videos

nteract weekly August 16, 2018

More videos:

  • Review - nteract weekly November 5, 2018
  • Review - nteract weekly October 1, 2018

Wolfram Mathematica videos

Introduction to Wolfram Notebooks

Category Popularity

0-100% (relative to nteract and Wolfram Mathematica)
Data Science Notebooks
100 100%
0% 0
Technical Computing
0 0%
100% 100
Data Science And Machine Learning
Numerical Computation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare nteract and Wolfram Mathematica

nteract Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io

Wolfram Mathematica Reviews

10 Best MATLAB Alternatives [For Beginners and Professionals]
Wolfram Mathematica is packed with features that make your computations super-easy. Mathematica can handle any visualizations or plot with ease.
6 MATLAB Alternatives You Could Use
Deveoped by Wolfram Research, the pioneers of computational software, Mathematica comes with a truckload of features for all your mathematical computational needs. The latest version boasts over 700 new functions, as well as multiple function libraries and geo visualization/animation tools. And that’s just the tip of the iceberg. From 2D/3D image processing to enhanced...
Source: beebom.com

Social recommendations and mentions

Based on our record, nteract seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

nteract mentions (4)

  • Best Python IDEs for Data Science!
    At the same time that already established and widely used IDEs like RStudio are renewed and provide support for new languages, other solutions appear almost out of nowhere and are adopted by the market as is the case of nteract, an open-source project to be the next interactive development experience adopted by Netflix, in practice it has support for Python, node.JS, R, Julia, C ++, Scala and .NET, in addition to... - Source: dev.to / over 3 years ago
  • Python IDE similar to Jupyter Notebook but not web based?
    Sounds like you're looking for nteract. Source: about 4 years ago
  • Installing Jupyter Notebook
    If you reach infuriation levels you can always cop out and use https://nteract.io/ Ultimately I would suggest jupyterlab over jupyter. Source: about 4 years ago
  • How to open .ipynb files with Jupyter Notebook by double-clicking from windows explorer?
    You can also try the software nteract (https://nteract.io). Source: about 4 years ago

Wolfram Mathematica mentions (0)

We have not tracked any mentions of Wolfram Mathematica yet. Tracking of Wolfram Mathematica recommendations started around Mar 2021.

What are some alternatives?

When comparing nteract and Wolfram Mathematica, you can also consider the following products

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

BeakerX - Open Source Polyglot Data Science Tool

GNU Octave - GNU Octave is a programming language for scientific computing.

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

Scilab - Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!