Software Alternatives & Reviews

Altair VS Wolfram Mathematica

Compare Altair VS Wolfram Mathematica and see what are their differences

Altair logo Altair

Visually Analyze Any Data at the Speed of Business

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.
  • Altair Landing page
    Landing page //
    2023-01-24
  • Wolfram Mathematica Landing page
    Landing page //
    2022-08-07

Altair videos

HyperMesh Review of the results with HyperStudy Bike frame

More videos:

  • Review - Erweiterte Modellierungsmöglichkeiten für Composites in HyperMesh und HyperView
  • Tutorial - Hypermesh Tutorial for Beginners : Basics of Hypermesh GUI

Wolfram Mathematica videos

Introduction to Wolfram Notebooks

Category Popularity

0-100% (relative to Altair and Wolfram Mathematica)
Data Dashboard
100 100%
0% 0
Technical Computing
9 9%
91% 91
Data Transformation
100 100%
0% 0
Numerical Computation
10 10%
90% 90

User comments

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Reviews

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

Altair Reviews

5 Best Python Libraries For Data Visualization in 2023
It’s a declarative statistical library built on top of the popular Vega-Lite visualization grammar. Altair is friendly, consistent, and comes with a simple API. Using this data visualization library, you can create beautiful and effective visualizations with a minimal amount of code. If you don’t know, a declarative library needed to be mentioned only one link between the...
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Altair (formerly Datawatch) offers a suite of solutions through its Knowledge Works portfolio and is headlined by an advanced data mining and predictive analytics workbench called Knowledge Studio. The product features patented Decision Trees, Strategy Trees, and a workflow and wizard-driven graphical user interface. It also includes capabilities for data...
Top 8 Python Libraries for Data Visualization
Altair is a statistical data visualization library in Python. It is based on Vega and Vega-Lite which are a sort of declarative language for creating, saving, and sharing data visualization designs that are also interactive. Altair can be used to create beautiful data visualizations of plots such as bar charts, pie charts, histograms, scatterplots, error charts, power...

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

What are some alternatives?

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

ANSYS Fluent - ANSYS engineering simulation and 3D design software delivers product modeling solutions with unmatched scalability and a comprehensive multiphysics foundation.

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

Tableau Prep - Tableau Prep is comprised of two products: Prep Builder and Prep Conductor.

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

Autodesk Fluid Flow - Autodesk Fluid Flow is an industry-leading fluid dynamics software that helps to enhance product performance and reliability.

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