Mathematica vs Freemat

Struggling to choose between Mathematica and Freemat? Both products offer unique advantages, making it a tough decision.

Mathematica is a Education & Reference solution with tags like mathematics, symbolic-computation, data-visualization.

It boasts features such as Symbolic and numerical computation, 2D and 3D data visualization, Programming language and development environment, Large library of mathematical, statistical, and machine learning functions, Natural language processing capabilities, Can be used for applications like data analysis, modeling, education, research, engineering, finance, and more. and pros including Very powerful and versatile for technical computing, Intuitive syntax and workflows, Excellent graphics, plotting, and visualization capabilities, Can handle both symbolic and numeric computations, Has many built-in algorithms, models, and datasets, Can automate complex tasks and workflows, Integrates well with other systems and languages.

On the other hand, Freemat is a Development product tagged with numerical-computation, engineering, scientific-visualization, matlab-alternative.

Its standout features include Open-source MATLAB alternative, Supports matrix operations, plotting, optimization, statistics, calculus and more, Import/export MATLAB data files, Extendable with C, C++, Fortran, Java, Python, Cross-platform - runs on Windows, Linux, MacOS, and it shines with pros like Free and open source, Powerful mathematical and scientific features, Customizable and extensible, Cross-platform compatibility.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Mathematica

Mathematica

Mathematica is a computational software program used for symbolic mathematics, numerical calculations, data visualization, and more. It has a wide range of applications in STEM fields including physics, chemistry, biology, and finance.

Categories:
mathematics symbolic-computation data-visualization

Mathematica Features

  1. Symbolic and numerical computation
  2. 2D and 3D data visualization
  3. Programming language and development environment
  4. Large library of mathematical, statistical, and machine learning functions
  5. Natural language processing capabilities
  6. Can be used for applications like data analysis, modeling, education, research, engineering, finance, and more.

Pricing

  • Subscription-Based
  • Volume Licensing Available
  • Free Trial Version

Pros

Very powerful and versatile for technical computing

Intuitive syntax and workflows

Excellent graphics, plotting, and visualization capabilities

Can handle both symbolic and numeric computations

Has many built-in algorithms, models, and datasets

Can automate complex tasks and workflows

Integrates well with other systems and languages

Cons

Steep learning curve

Expensive proprietary software

Not open source

Not as fast as lower-level languages for some numerical tasks

Limited applications outside of technical fields

Not as popular for general programming compared to Python, R, etc.


Freemat

Freemat

Freemat is a free, open-source alternative to MATLAB. It provides a wide range of mathematical functions and supports numerical computation, engineering and scientific visualization.

Categories:
numerical-computation engineering scientific-visualization matlab-alternative

Freemat Features

  1. Open-source MATLAB alternative
  2. Supports matrix operations, plotting, optimization, statistics, calculus and more
  3. Import/export MATLAB data files
  4. Extendable with C, C++, Fortran, Java, Python
  5. Cross-platform - runs on Windows, Linux, MacOS

Pricing

  • Open Source

Pros

Free and open source

Powerful mathematical and scientific features

Customizable and extensible

Cross-platform compatibility

Cons

Smaller community than MATLAB

Less extensive documentation and support

Lacks some advanced MATLAB toolboxes

Not as user-friendly as MATLAB GUI