OpenAxiom vs SymPy

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

OpenAxiom is a Education & Reference solution with tags like algebra, calculus, computer-algebra-system, symbolic-computation, mathematics, research, education.

It boasts features such as Symbolic computation, Algebraic algorithms, Calculus and analysis, Graphics and visualization, Programming language and pros including Free and open source, Extensive mathematical capabilities, Can be extended via Spad programming language, Cross-platform compatibility.

On the other hand, SymPy is a Development product tagged with mathematics, symbolic-math, computer-algebra.

Its standout features include Symbolic mathematics, Computer algebra system, Mathematical expressions manipulation, Equation solving, Symbolic integration, Symbolic differentiation, and it shines with pros like Open source, Free to use, Large community support, Extensive documentation, Integrates well with NumPy and SciPy.

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.

OpenAxiom

OpenAxiom

OpenAxiom is an open-source computer algebra system for symbolic computation. It has capabilities for algebra, calculus, graphics, and more. It is useful for mathematical research, education, and applications.

Categories:
algebra calculus computer-algebra-system symbolic-computation mathematics research education

OpenAxiom Features

  1. Symbolic computation
  2. Algebraic algorithms
  3. Calculus and analysis
  4. Graphics and visualization
  5. Programming language

Pricing

  • Open Source

Pros

Free and open source

Extensive mathematical capabilities

Can be extended via Spad programming language

Cross-platform compatibility

Cons

Limited user interface compared to commercial alternatives

Smaller user community than proprietary options

Development has slowed in recent years


SymPy

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:
mathematics symbolic-math computer-algebra

SymPy Features

  1. Symbolic mathematics
  2. Computer algebra system
  3. Mathematical expressions manipulation
  4. Equation solving
  5. Symbolic integration
  6. Symbolic differentiation

Pricing

  • Open Source

Pros

Open source

Free to use

Large community support

Extensive documentation

Integrates well with NumPy and SciPy

Cons

Steep learning curve

Not as fast as optimized commercial CAS

Limited plotting capabilities

Not ideal for numerical computations