Struggling to choose between Giac/Xcas and Maple? Both products offer unique advantages, making it a tough decision.
Giac/Xcas is a Education & Reference solution with tags like algebra, calculus, equations, graphing, plotting, symbolic-computation.
It boasts features such as Symbolic and numerical computations, 2D/3D plotting, Solving equations and systems of equations, Simplifying mathematical expressions, Differentiating and integrating functions, Matrix operations, Statistics and probability functions, Programming language to create scripts and programs, Interactive shell and graphical user interface and pros including Free and open source, Cross-platform compatibility, Extensive mathematical capabilities, User-friendly interface, Scripting allows automation and customization, Integrates well with other math software.
On the other hand, Maple is a Education & Reference product tagged with math, algebra, calculus, visualization, academic, research.
Its standout features include Symbolic computation, Numeric computation, Visualization and animation, Documentation tools, Connectivity with other applications, and it shines with pros like Powerful symbolic and numeric capabilities, Intuitive graphical interface, Extensive function library, Can handle complex computations, Wide range of visualization tools.
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.
Giac/Xcas is an open-source computer algebra system for symbolic computation. It can perform calculations, solve equations, simplify expressions, plot graphs, and more. It has a graphical user interface and can integrate with software like SageMath.
Maple is a proprietary computer algebra system used for mathematical computation. It offers capabilities for algebraic manipulation, calculus operations, visualization tools, and more. Maple is commonly used in academia and research for solving complex mathematical problems.