OpenAxiom vs MATLAB

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

OpenAxiom is a Education & Reference solution with tags like algebra, calculus, computer-algebra-system, symbolic-computation, mathematics, research, education.

It boasts features such as Symbolic computation, Algebraic algorithms, Calculus and analysis, Graphics and visualization, Programming language and pros including Free and open source, Extensive mathematical capabilities, Can be extended via Spad programming language, Cross-platform compatibility.

On the other hand, MATLAB is a Development product tagged with matrix-manipulation, numerical-computing, visualization, algorithms.

Its standout features include 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 it shines with pros like 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.

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.

OpenAxiom

OpenAxiom

OpenAxiom is an open-source computer algebra system for symbolic computation. It has capabilities for algebra, calculus, graphics, and more. It is useful for mathematical research, education, and applications.

Categories:
algebra calculus computer-algebra-system symbolic-computation mathematics research education

OpenAxiom Features

  1. Symbolic computation
  2. Algebraic algorithms
  3. Calculus and analysis
  4. Graphics and visualization
  5. Programming language

Pricing

  • Open Source

Pros

Free and open source

Extensive mathematical capabilities

Can be extended via Spad programming language

Cross-platform compatibility

Cons

Limited user interface compared to commercial alternatives

Smaller user community than proprietary options

Development has slowed in recent years


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