SymPy vs SageMath

Professional comparison and analysis to help you choose the right software solution for your needs. Compare features, pricing, pros & cons, and make an informed decision.

SymPy icon
SymPy
SageMath icon
SageMath

Expert Analysis & Comparison

Struggling to choose between SymPy and SageMath? 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, 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.

Why Compare SymPy and SageMath?

When evaluating SymPy versus SageMath, both solutions serve different needs within the development ecosystem. This comparison helps determine which solution aligns with your specific requirements and technical approach.

Market Position & Industry Recognition

SymPy and SageMath have established themselves in the development market. Key areas include mathematics, symbolic-math, computer-algebra.

Technical Architecture & Implementation

The architectural differences between SymPy and SageMath significantly impact implementation and maintenance approaches. Related technologies include mathematics, symbolic-math, computer-algebra.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include mathematics, symbolic-math and algebra, analysis.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between SymPy and SageMath. You might also explore mathematics, symbolic-math, computer-algebra for alternative approaches.

Feature SymPy SageMath
Overall Score N/A N/A
Primary Category Development Education & Reference
Target Users Developers, QA Engineers QA Teams, Non-technical Users
Deployment Self-hosted, Cloud Cloud-based, SaaS
Learning Curve Moderate to Steep Easy to Moderate

Product Overview

SymPy
SymPy

Description: 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.

Type: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

SageMath
SageMath

Description: 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.

Type: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

SymPy
SymPy Features
  • Symbolic mathematics
  • Computer algebra system
  • Mathematical expressions manipulation
  • Equation solving
  • Symbolic integration
  • Symbolic differentiation
SageMath
SageMath Features
  • 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

Pros & Cons Analysis

SymPy
SymPy
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
SageMath
SageMath
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

Pricing Comparison

SymPy
SymPy
  • Open Source
SageMath
SageMath
  • Open Source

Get More Information

Ready to Make Your Decision?

Explore more software comparisons and find the perfect solution for your needs