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.

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.

Cadabra

Cadabra

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.

Categories:
algebra tensor polynomial simplification physics opensource

Cadabra Features

  1. Symbolic tensor computations
  2. Component tensor computations
  3. Extensible architecture
  4. Python API
  5. TeX and LaTeX output

Pricing

  • Open Source

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

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