Mathomatic vs Mathematica

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

Mathomatic is a Education & Reference solution with tags like algebra, calculus, plotting, cas.

It boasts features such as Symbolic math calculations, Algebraic manipulation, Calculus - derivatives, integrals, limits, Matrix operations, 2D and 3D plotting, Statistics - regression, distributions, Boolean logic, Numerical calculations with unlimited precision and pros including Free and open source, Lightweight and fast, Easy to use syntax, Cross-platform - works on Linux, Mac, Windows, Can be used as a library in other programs.

On the other hand, Mathematica is a Education & Reference product tagged with mathematics, symbolic-computation, data-visualization.

Its standout features include 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 it shines with pros like 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.

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.

Mathomatic

Mathomatic

Mathomatic is a free, open-source computer algebra system (CAS) software for symbolic mathematics. It can perform various mathematical operations like algebraic manipulation, calculate derivatives and integrals, matrix operations, plot graphs, and more. Mathomatic is lightweight, easy to use, and supports unlimited precision numerical calculations.

Categories:
algebra calculus plotting cas

Mathomatic Features

  1. Symbolic math calculations
  2. Algebraic manipulation
  3. Calculus - derivatives, integrals, limits
  4. Matrix operations
  5. 2D and 3D plotting
  6. Statistics - regression, distributions
  7. Boolean logic
  8. Numerical calculations with unlimited precision

Pricing

  • Open Source

Pros

Free and open source

Lightweight and fast

Easy to use syntax

Cross-platform - works on Linux, Mac, Windows

Can be used as a library in other programs

Cons

Limited documentation

Not as full-featured as commercial CAS systems

User interface is primitive

Lacks some advanced math functions


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.