MATLAB vs SageMath

Struggling to choose between MATLAB and SageMath? 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, SageMath is a Education & Reference product tagged with algebra, analysis, calculus, combinatorics, geometry, number-theory, research, teaching.

Its standout features include Open-source mathematical software system, Supports various mathematical domains like algebra, calculus, combinatorics, numerical computation, Includes libraries like NumPy, SciPy, SymPy, Matplotlib, Interactive notebook interface (Sage Notebook) for calculations, plotting, documentation, Supports code in Python, Cython, C/C++, Fortran and more, Can be used as a server to collaborate with others, and it shines with pros like Free and open source, Very extensive math functionality, Integrates many existing math libraries, Can be extended by writing new modules, Notebook interface good for learning and documentation.

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


SageMath

SageMath

SageMath is an open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages including NumPy, SciPy, matplotlib, Sympy, and more. It provides an interactive environment and library to support research and teaching across algebra, analysis, calculus, combinatorics, geometry, number theory, and more.

Categories:
algebra analysis calculus combinatorics geometry number-theory research teaching

SageMath Features

  1. Open-source mathematical software system
  2. Supports various mathematical domains like algebra, calculus, combinatorics, numerical computation
  3. Includes libraries like NumPy, SciPy, SymPy, Matplotlib
  4. Interactive notebook interface (Sage Notebook) for calculations, plotting, documentation
  5. Supports code in Python, Cython, C/C++, Fortran and more
  6. Can be used as a server to collaborate with others

Pricing

  • Open Source

Pros

Free and open source

Very extensive math functionality

Integrates many existing math libraries

Can be extended by writing new modules

Notebook interface good for learning and documentation

Cons

Less user friendly than some commercial alternatives

Not as fast as optimized commercial math software

Requires more programming knowledge than some alternatives

Documentation can be technical

Not as polished UI as some alternatives