Software Alternatives & Reviews

Spyder VS Wolfram Mathematica

Compare Spyder VS Wolfram Mathematica and see what are their differences

Spyder logo Spyder

The Scientific Python Development Environment

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.
  • Spyder Landing page
    Landing page //
    2023-08-06
  • Wolfram Mathematica Landing page
    Landing page //
    2022-08-07

Spyder videos

First steps with Spyder - Part 1: Getting Started

More videos:

  • Review - #Spyder Movie Review - Maheshbabu - A R Murugadoss
  • Review - Can-Am Spyder F3-S Review at fortnine.ca
  • Review - Spyder review by prashanth

Wolfram Mathematica videos

Introduction to Wolfram Notebooks

Category Popularity

0-100% (relative to Spyder and Wolfram Mathematica)
Text Editors
100 100%
0% 0
Technical Computing
0 0%
100% 100
IDE
100 100%
0% 0
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 Spyder and Wolfram Mathematica

Spyder Reviews

Top 5 Python IDEs For Data Science
If you have the Anaconda distribution installed on your computer, you probably already know Spyder. It’s an open source cross-platform IDE for data science. If you have never worked with an IDE, Spyder could perfectly be your first approach. It integrates the essentials libraries for data science, such as NumPy, SciPy, Matplotlib and IPython, besides that, it can be extended...

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, Spyder seems to be more popular. It has been mentiond 2 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.

Spyder mentions (2)

  • GitHub announced the 20 projects selected for their accelerator first cohort
    - https://github.com/spyder-ide/spyder: The scientific Python development environment - https://github.com/strawberry-graphql/strawberry: A GraphQL library for Python that leverages type annotations. Source: about 1 year ago
  • Python GUI Programming
    Spyder is open source and I was going through the source code. It is a lot to take in and before I go through the code I wanted to ask if anyone could point me in the direction of a Spyder code skeleton. Source: about 1 year 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 Spyder and Wolfram Mathematica, you can also consider the following products

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

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

IDLE - Default IDE which come installed with the Python programming language.

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

Thonny - Python IDE for beginners

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