MATLAB vs Maxima

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

MATLAB is a Development solution with tags like matrix-manipulation, numerical-computing, visualization, algorithms.

It boasts features such as Matrix and vector computations, 2D and 3D plotting and visualization, Statistical analysis and machine learning, Image processing and computer vision, Modeling, simulation and prototyping, App and algorithm development, Big data analytics and predictive analytics, Data acquisition and measurement and pros including Powerful built-in math and graphics functions, Wide range of toolboxes for domain-specific tasks, Interoperability with C/C++, Java, Python, and other languages, Can handle large data sets and computations efficiently, Extensive visualization and debugging capabilities, Large user community and available resources.

On the other hand, Maxima is a Education & Reference product tagged with algebra, calculus, equations, matrices, stem.

Its standout features include Symbolic manipulation of mathematical expressions, Numerical computations, 2D/3D plotting and visualization, Solving equations and systems of equations, Matrix operations, Integration and differentiation, Taylor series expansions, Laplace and Fourier transforms, Probability and statistics functions, Unit conversions, and it shines with pros like Free and open source, Cross-platform compatibility, Extensive mathematical capabilities, Can be extended with new functions and features, Good documentation and active user community.

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.

MATLAB

MATLAB

MATLAB is a proprietary programming language and interactive environment for numerical computation, visualization, and programming. It allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

Categories:
matrix-manipulation numerical-computing visualization algorithms

MATLAB Features

  1. Matrix and vector computations
  2. 2D and 3D plotting and visualization
  3. Statistical analysis and machine learning
  4. Image processing and computer vision
  5. Modeling, simulation and prototyping
  6. App and algorithm development
  7. Big data analytics and predictive analytics
  8. Data acquisition and measurement

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Powerful built-in math and graphics functions

Wide range of toolboxes for domain-specific tasks

Interoperability with C/C++, Java, Python, and other languages

Can handle large data sets and computations efficiently

Extensive visualization and debugging capabilities

Large user community and available resources

Cons

Expensive licensing model

Steep learning curve for new users

Not inherently object-oriented

Not open source

Platform dependent and not very portable

Code can be slower than compiled languages


Maxima

Maxima

Maxima is an open-source computer algebra system that provides symbolic computation capabilities. It can manipulate mathematical expressions, differentiate and integrate functions, solve equations, work with matrices, graphs, and more. Useful for STEM fields like math, engineering, physics.

Categories:
algebra calculus equations matrices stem

Maxima Features

  1. Symbolic manipulation of mathematical expressions
  2. Numerical computations
  3. 2D/3D plotting and visualization
  4. Solving equations and systems of equations
  5. Matrix operations
  6. Integration and differentiation
  7. Taylor series expansions
  8. Laplace and Fourier transforms
  9. Probability and statistics functions
  10. Unit conversions

Pricing

  • Open Source

Pros

Free and open source

Cross-platform compatibility

Extensive mathematical capabilities

Can be extended with new functions and features

Good documentation and active user community

Cons

Steep learning curve

User interface not very intuitive

Limited capabilities for numeric computations compared to MATLAB or NumPy

Graphics and visualization not as advanced as MATLAB or Mathematica