FriCAS vs R (programming language)

Struggling to choose between FriCAS and R (programming language)? Both products offer unique advantages, making it a tough decision.

FriCAS is a Education & Reference solution with tags like computer-algebra-system, symbolic-computation, mathematics.

It boasts features such as Symbolic computation and algebraic manipulation, Interactive environment for mathematical exploration, Supports arithmetic, calculus, linear algebra, combinatorics, number theory, etc., Computer algebra system kernel written in Common Lisp, Notebook interface for literate programming, Extensible through user-defined domains and packages, Translators to and from Maple and Mathematica and pros including Powerful open source computer algebra system, Flexible and extensible architecture, Notebook interface promotes interactive workflows, Strong symbolic capabilities for advanced math, Translators allow interoperability with other CAS tools.

On the other hand, R (programming language) is a Development product tagged with statistics, data-analysis, data-visualization, scientific-computing, open-source.

Its standout features include Statistical analysis, Data visualization, Data modeling, Machine learning, Graphics, Reporting, and it shines with pros like Open source, Large community support, Extensive package ecosystem, Runs on multiple platforms, Integrates with other languages, Flexible and extensible.

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.

FriCAS

FriCAS

FriCAS is an open source computer algebra system that specializes in symbolic computation. It has a powerful engine for manipulating mathematical expressions and can be used for calculus, number theory, algebra, and more.

Categories:
computer-algebra-system symbolic-computation mathematics

FriCAS Features

  1. Symbolic computation and algebraic manipulation
  2. Interactive environment for mathematical exploration
  3. Supports arithmetic, calculus, linear algebra, combinatorics, number theory, etc.
  4. Computer algebra system kernel written in Common Lisp
  5. Notebook interface for literate programming
  6. Extensible through user-defined domains and packages
  7. Translators to and from Maple and Mathematica

Pricing

  • Open Source

Pros

Powerful open source computer algebra system

Flexible and extensible architecture

Notebook interface promotes interactive workflows

Strong symbolic capabilities for advanced math

Translators allow interoperability with other CAS tools

Cons

Less user-friendly than Mathematica or Maple

Smaller user community than proprietary alternatives

Not as full-featured for numeric computation

Documentation can be technical and terse


R (programming language)

R (programming language)

R is a free, open-source programming language and software environment for statistical analysis, data visualization, and scientific computing. It is widely used by statisticians, data miners, data analysts, and data scientists for developing statistical software and data analysis.

Categories:
statistics data-analysis data-visualization scientific-computing open-source

R (programming language) Features

  1. Statistical analysis
  2. Data visualization
  3. Data modeling
  4. Machine learning
  5. Graphics
  6. Reporting

Pricing

  • Open Source
  • Free

Pros

Open source

Large community support

Extensive package ecosystem

Runs on multiple platforms

Integrates with other languages

Flexible and extensible

Cons

Steep learning curve

Less user-friendly than proprietary statistical software

Can be slow for large datasets

Limited graphical user interface

Version inconsistencies

Poor memory management