SymPy Alternatives for Windows

Looking for SymPy alternatives? We've curated 12 top alternatives that offer similar functionality. Whether you need Windows options, free plans, or open source solutions, explore our comprehensive list to find the perfect fit for your needs.

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Development Education & Reference

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MATLAB

Commercial

MATLAB is a comprehensive platform for numerical computing, visualization, and programming. It provides a powerful environment for algorithm development, data analysis, simulation, and model development across various disciplines.

Key Features

Comprehensive numerical computing environment.
Extensive collection of domain-specific toolboxes.
Powerful visualization capabilities.

vs SymPy

Comprehensive numerical computing environment. compared to SymPy

R (programming language)

Open Source

R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.

Key Features

Extensive statistical and graphical capabilities.
Large and comprehensive ecosystem of packages.
High-quality data visualization features.

vs SymPy

Extensive statistical and graphical capabilities. compared to SymPy

Mathematica

Commercial

Mathematica is a comprehensive software suite for technical computing, widely used in scientific, engineering, and mathematical fields for its powerful symbolic and numerical computation capabilities.

Key Features

Extremely powerful symbolic and numerical computation capabilities.
Comprehensive all-in-one platform for computation, visualization, and documentation.
Vast library of built-in functions and access to curated data.

vs SymPy

Extremely powerful symbolic and numerical computation capabilities. compared to SymPy

Sage

Open Source

SageMath is a free open-source mathematics software system that provides a comprehensive environment for symbolic and numerical computation, algebra, calculus, and more. It integrates various existing mathematics software packages into a common Python-based interface.

Key Features

Free and open-source
Comprehensive range of mathematical capabilities
Excellent interactive notebook interface

vs SymPy

Free and open-source compared to SymPy

SciPy & Numpy

Open Source

NumPy and SciPy form a foundational ecosystem in Python for numerical and scientific computing, providing powerful tools for mathematical operations, linear algebra, statistics, and optimization.

Key Features

Excellent performance for numerical computations.
Comprehensive set of mathematical and scientific functions.
Forms the foundation for many other Python libraries.

vs SymPy

Excellent performance for numerical computations. compared to SymPy

Maxima

Open Source

Maxima is a comprehensive computer algebra system developed in Lisp, specializing in symbolic manipulation of mathematical expressions. It's a powerful tool for algebra, calculus, equation solving, and more, widely used in academic and research settings.

Key Features

Powerful symbolic computation capabilities.
Free and open-source with no licensing costs.
Comprehensive features for algebra and calculus.

vs SymPy

Powerful symbolic computation capabilities. compared to SymPy

wxMaxima

Open Source

wxMaxima is a powerful graphical interface for the Maxima computer algebra system. It provides a user-friendly environment for symbolic and numerical computations, equation solving, calculus, plotting, and more, making complex mathematical tasks more accessible.

Key Features

Provides a user-friendly graphical interface for the powerful Maxima CA S.
Strong symbolic computation and calculus capabilities.
Integrated 2D and 3D plotting.

vs SymPy

Provides a user-friendly graphical interface for the powerful Maxima CA S. compared to SymPy

Maple

Commercial

Maple is a powerful mathematical computing environment and multi-paradigm programming language designed for engineers, scientists, educators, and students. It provides a comprehensive suite of tools for symbolic and numeric computation, data analysis, visualization, and application development across numerous domains.

Key Features

Powerful symbolic and numeric computation capabilities.
Comprehensive library of mathematical functions.
Interactive document interface for creating dynamic computations and explanations.

vs SymPy

Powerful symbolic and numeric computation capabilities. compared to SymPy

Microsoft Mathematics

Free

Microsoft Mathematics is a comprehensive, albeit discontinued, educational program designed to assist students and mathematics enthusiasts in solving a wide array of math and science problems. It features a versatile calculator, powerful graphing capabilities, and tools for symbolic computation, making complex equations and concepts more accessible.

Key Features

Provides step-by-step solutions for learning.
Powerful graphing calculator (2D and 3D).
Supports symbolic computation.

vs SymPy

Provides step-by-step solutions for learning. compared to SymPy

python(x,y)

Open Source

Python(x,y) is a comprehensive, free and open-source development environment for scientific and engineering tasks using Python. It bundles numerous libraries and tools for numerical computation, data analysis, visualization, and more, making it a powerful alternative to commercial software.

Key Features

Bundled with essential scientific libraries.
Easy to install and set up.
Includes a comprehensive IDE with debugger.

vs SymPy

Bundled with essential scientific libraries. compared to SymPy

Mathcad

Commercial

Mathcad is a powerful software for technical calculations, documentation, and engineering problem-solving. It allows users to express mathematical equations using standard notation, making it easy to read, understand, and verify complex calculations.

Key Features

Uses standard mathematical notation for clarity and readability.
Integrated environment for calculations, text, and graphics.
Automatic unit tracking and conversion prevents errors.

vs SymPy

Uses standard mathematical notation for clarity and readability. compared to SymPy

IBM SPSS Statistics

Commercial

IBM SPSS Statistics is a leading statistical software platform used for solving research and business problems through analysis.

Key Features

Comprehensive suite of statistical procedures.
User-friendly graphical interface.
Widely used and industry-standard.

vs SymPy

Comprehensive suite of statistical procedures. compared to SymPy

MATLAB

Commercial

MATLAB is a comprehensive platform for numerical computing, visualization, and programming. It provides a powerful environment for algorithm development, data analysis, simulation, and model development across various disciplines.

Key Features

Comprehensive numerical computing environment.
Extensive collection of domain-specific toolboxes.
Powerful visualization capabilities.

vs SymPy

Comprehensive numerical computing environment. compared to SymPy

R (programming language)

Open Source

R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.

Key Features

Extensive statistical and graphical capabilities.
Large and comprehensive ecosystem of packages.
High-quality data visualization features.

vs SymPy

Extensive statistical and graphical capabilities. compared to SymPy

Mathematica

Commercial

Mathematica is a comprehensive software suite for technical computing, widely used in scientific, engineering, and mathematical fields for its powerful symbolic and numerical computation capabilities.

Key Features

Extremely powerful symbolic and numerical computation capabilities.
Comprehensive all-in-one platform for computation, visualization, and documentation.
Vast library of built-in functions and access to curated data.

vs SymPy

Extremely powerful symbolic and numerical computation capabilities. compared to SymPy

Sage

Open Source

SageMath is a free open-source mathematics software system that provides a comprehensive environment for symbolic and numerical computation, algebra, calculus, and more. It integrates various existing mathematics software packages into a common Python-based interface.

Key Features

Free and open-source
Comprehensive range of mathematical capabilities
Excellent interactive notebook interface

vs SymPy

Free and open-source compared to SymPy

SciPy & Numpy

Open Source

NumPy and SciPy form a foundational ecosystem in Python for numerical and scientific computing, providing powerful tools for mathematical operations, linear algebra, statistics, and optimization.

Key Features

Excellent performance for numerical computations.
Comprehensive set of mathematical and scientific functions.
Forms the foundation for many other Python libraries.

vs SymPy

Excellent performance for numerical computations. compared to SymPy

Maxima

Open Source

Maxima is a comprehensive computer algebra system developed in Lisp, specializing in symbolic manipulation of mathematical expressions. It's a powerful tool for algebra, calculus, equation solving, and more, widely used in academic and research settings.

Key Features

Powerful symbolic computation capabilities.
Free and open-source with no licensing costs.
Comprehensive features for algebra and calculus.

vs SymPy

Powerful symbolic computation capabilities. compared to SymPy

wxMaxima

Open Source

wxMaxima is a powerful graphical interface for the Maxima computer algebra system. It provides a user-friendly environment for symbolic and numerical computations, equation solving, calculus, plotting, and more, making complex mathematical tasks more accessible.

Key Features

Provides a user-friendly graphical interface for the powerful Maxima CA S.
Strong symbolic computation and calculus capabilities.
Integrated 2D and 3D plotting.

vs SymPy

Provides a user-friendly graphical interface for the powerful Maxima CA S. compared to SymPy

Maple

Commercial

Maple is a powerful mathematical computing environment and multi-paradigm programming language designed for engineers, scientists, educators, and students. It provides a comprehensive suite of tools for symbolic and numeric computation, data analysis, visualization, and application development across numerous domains.

Key Features

Powerful symbolic and numeric computation capabilities.
Comprehensive library of mathematical functions.
Interactive document interface for creating dynamic computations and explanations.

vs SymPy

Powerful symbolic and numeric computation capabilities. compared to SymPy

Microsoft Mathematics

Free

Microsoft Mathematics is a comprehensive, albeit discontinued, educational program designed to assist students and mathematics enthusiasts in solving a wide array of math and science problems. It features a versatile calculator, powerful graphing capabilities, and tools for symbolic computation, making complex equations and concepts more accessible.

Key Features

Provides step-by-step solutions for learning.
Powerful graphing calculator (2D and 3D).
Supports symbolic computation.

vs SymPy

Provides step-by-step solutions for learning. compared to SymPy

python(x,y)

Open Source

Python(x,y) is a comprehensive, free and open-source development environment for scientific and engineering tasks using Python. It bundles numerous libraries and tools for numerical computation, data analysis, visualization, and more, making it a powerful alternative to commercial software.

Key Features

Bundled with essential scientific libraries.
Easy to install and set up.
Includes a comprehensive IDE with debugger.

vs SymPy

Bundled with essential scientific libraries. compared to SymPy

Mathcad

Commercial

Mathcad is a powerful software for technical calculations, documentation, and engineering problem-solving. It allows users to express mathematical equations using standard notation, making it easy to read, understand, and verify complex calculations.

Key Features

Uses standard mathematical notation for clarity and readability.
Integrated environment for calculations, text, and graphics.
Automatic unit tracking and conversion prevents errors.

vs SymPy

Uses standard mathematical notation for clarity and readability. compared to SymPy

IBM SPSS Statistics

Commercial

IBM SPSS Statistics is a leading statistical software platform used for solving research and business problems through analysis.

Key Features

Comprehensive suite of statistical procedures.
User-friendly graphical interface.
Widely used and industry-standard.

vs SymPy

Comprehensive suite of statistical procedures. compared to SymPy

Compare Side-by-Side

Want to see how SymPy stacks up against alternatives? Select any option below for a detailed comparison.

MATLAB vs SymPy

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R (programming language) icon

R (programming language) vs SymPy

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Mathematica icon

Mathematica vs SymPy

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SciPy & Numpy icon

SciPy & Numpy vs SymPy

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Maxima vs SymPy

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wxMaxima vs SymPy

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Compare features and reviews between these alternatives.

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Microsoft Mathematics icon

Microsoft Mathematics vs SymPy

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python(x,y) icon

python(x,y) vs SymPy

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Mathcad vs SymPy

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IBM SPSS Statistics icon

IBM SPSS Statistics vs SymPy

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Compare