SymPy vs Maple
Struggling to choose between SymPy and Maple? Both products offer unique advantages, making it a tough decision.
SymPy is a Development solution with tags like mathematics, symbolic-math, computer-algebra.
It boasts features such as Symbolic mathematics, Computer algebra system, Mathematical expressions manipulation, Equation solving, Symbolic integration, Symbolic differentiation and pros including Open source, Free to use, Large community support, Extensive documentation, Integrates well with NumPy and SciPy.
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.
SymPy
SymPy is an open-source Python library for symbolic mathematics. It provides computer algebra capabilities to manipulate mathematical expressions, calculate limits, solve equations, perform symbolic integration and differentiation, and more.
Categories:
SymPy Features
- Symbolic mathematics
- Computer algebra system
- Mathematical expressions manipulation
- Equation solving
- Symbolic integration
- Symbolic differentiation
Pricing
- Open Source
Pros
Cons
Maple
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.
Categories:
Maple Features
- Symbolic computation
- Numeric computation
- Visualization and animation
- Documentation tools
- Connectivity with other applications
Pricing
- Subscription-Based