Cadabra vs SageMath

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

Cadabra is a Science & Math solution with tags like algebra, tensor, polynomial, simplification, physics, opensource.

It boasts features such as Symbolic tensor computations, Component tensor computations, Extensible architecture, Python API, TeX and LaTeX output and pros including Specialized for tensor computations in theoretical physics, Clean and modular codebase, Active development and support.

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	Cadabra	SageMath
Overall Score	N/A	N/A
Primary Category	Science & Math	Education & Reference

Product Overview

Cadabra

Description: Cadabra is an open-source computer algebra system designed specifically for advanced theoretical physics computations involving tensor polynomial simplifications. It has a modern codebase focused on flexibility, extensibility and understandability.

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

Cadabra Features

• Symbolic tensor computations
• Component tensor computations
• Extensible architecture
• Python API
• TeX and LaTeX output

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

Cadabra

Pros

• Specialized for tensor computations in theoretical physics
• Clean and modular codebase
• Active development and support

Cons

• Limited user base compared to more general CAS
• Less comprehensive documentation
• Fewer supported operations than Mathematica or Maple

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

Cadabra

• Open Source

SageMath

• Open Source