SageMath vs VisSim

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

SageMath is a Education & Reference solution with tags like algebra, analysis, calculus, combinatorics, geometry, number-theory, research, teaching.

It boasts features such as 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 pros including 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.

On the other hand, VisSim is a Development product tagged with visual-programming, dynamic-systems, modeling, simulation.

Its standout features include Drag-and-drop interface for building models visually, Large library of built-in blocks for math, signal processing, control systems, etc, Simulation engine for running models in real-time or faster than real-time, Automated code generation for creating executable code from models, Import/export capabilities to interface with MATLAB, Simulink, C/C++, Excel, etc, Customizable block creation for building new blocks, Data visualization tools for plots, scopes, histograms, etc, Linearization tools for analyzing models around operating points, and it shines with pros like Intuitive visual interface speeds up model creation, No programming required for many applications, Fast simulation speeds compared to text-based math tools, Seamless integration with other math and engineering tools, Reduced development time compared to programming models by hand.

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.

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


VisSim

VisSim

VisSim is a visual block diagram language used for simulating dynamic systems and modeling physical processes. It enables fast creation and iteration of models using a drag-and-drop interface.

Categories:
visual-programming dynamic-systems modeling simulation

VisSim Features

  1. Drag-and-drop interface for building models visually
  2. Large library of built-in blocks for math, signal processing, control systems, etc
  3. Simulation engine for running models in real-time or faster than real-time
  4. Automated code generation for creating executable code from models
  5. Import/export capabilities to interface with MATLAB, Simulink, C/C++, Excel, etc
  6. Customizable block creation for building new blocks
  7. Data visualization tools for plots, scopes, histograms, etc
  8. Linearization tools for analyzing models around operating points

Pricing

  • One-time Purchase
  • Subscription-Based

Pros

Intuitive visual interface speeds up model creation

No programming required for many applications

Fast simulation speeds compared to text-based math tools

Seamless integration with other math and engineering tools

Reduced development time compared to programming models by hand

Cons

Less flexibility than general purpose programming languages

Limited to math/engineering-focused applications

Steep learning curve for advanced features

Add-on products required for some functionality

Not open source