SageMath vs Scilab

Struggling to choose between SageMath and Scilab? 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, Scilab is a Development product tagged with numerical-computing, data-analysis, signal-processing, control-systems.

Its standout features include Matrix operations, 2D & 3D plotting, Linear algebra functions, Statistics functions, Optimization algorithms, Signal processing toolbox, Control systems toolbox, Image processing toolbox, and it shines with pros like Free and open source, Similar syntax to MATLAB, Cross-platform compatibility, Large collection of toolboxes, Active user community.

Feature	SageMath	Scilab
Overall Score	N/A	N/A
Primary Category	Education & Reference	Development

Product Overview

SageMath

Description: 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.

Scilab

Description: Scilab is an open-source mathematical software that can be used for numerical computations. It provides a programming language and over 2,000 mathematical functions for engineering, scientific, and technical applications like data analysis, signal processing, control systems, and more.

Key Features Comparison

SageMath Features

• 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

Scilab Features

• Matrix operations
• 2D & 3D plotting
• Linear algebra functions
• Statistics functions
• Optimization algorithms
• Signal processing toolbox
• Control systems toolbox
• Image processing toolbox

Pros & Cons Analysis

SageMath

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

Scilab

Pros

• Free and open source
• Similar syntax to MATLAB
• Cross-platform compatibility
• Large collection of toolboxes
• Active user community

Cons

• Less comprehensive than MATLAB
• Limited graphical user interface
• Not as widely used in industry as MATLAB

Pricing Comparison

SageMath

• Open Source

Scilab

• Open Source