SageMath vs Mathematica

Struggling to choose between SageMath and Mathematica? 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, Mathematica is a Education & Reference product tagged with mathematics, symbolic-computation, data-visualization.

Its standout features include Symbolic and numerical computation, 2D and 3D data visualization, Programming language and development environment, Large library of mathematical, statistical, and machine learning functions, Natural language processing capabilities, Can be used for applications like data analysis, modeling, education, research, engineering, finance, and more., and it shines with pros like Very powerful and versatile for technical computing, Intuitive syntax and workflows, Excellent graphics, plotting, and visualization capabilities, Can handle both symbolic and numeric computations, Has many built-in algorithms, models, and datasets, Can automate complex tasks and workflows, Integrates well with other systems and languages.

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

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.

Mathematica

Description: Mathematica is a computational software program used for symbolic mathematics, numerical calculations, data visualization, and more. It has a wide range of applications in STEM fields including physics, chemistry, biology, and finance.

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

Mathematica Features

• Symbolic and numerical computation
• 2D and 3D data visualization
• Programming language and development environment
• Large library of mathematical, statistical, and machine learning functions
• Natural language processing capabilities
• Can be used for applications like data analysis, modeling, education, research, engineering, finance, and more.

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

Mathematica

Pros

• Very powerful and versatile for technical computing
• Intuitive syntax and workflows
• Excellent graphics, plotting, and visualization capabilities
• Can handle both symbolic and numeric computations
• Has many built-in algorithms, models, and datasets
• Can automate complex tasks and workflows
• Integrates well with other systems and languages

Cons

• Steep learning curve
• Expensive proprietary software
• Not open source
• Not as fast as lower-level languages for some numerical tasks
• Limited applications outside of technical fields
• Not as popular for general programming compared to Python, R, etc.

Pricing Comparison

SageMath

• Open Source

Mathematica

• Subscription-Based
• Volume Licensing Available
• Free Trial Version