Scilab vs SageMath

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

Scilab is a Development solution with tags like numerical-computing, data-analysis, signal-processing, control-systems.

It boasts features such as Matrix operations, 2D & 3D plotting, Linear algebra functions, Statistics functions, Optimization algorithms, Signal processing toolbox, Control systems toolbox, Image processing toolbox and pros including Free and open source, Similar syntax to MATLAB, Cross-platform compatibility, Large collection of toolboxes, Active user community.

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.

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

Product Overview

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.

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.

Key Features Comparison

Scilab Features

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

Scilab

• Open Source

SageMath

• Open Source