Maple Alternatives for Mac OS X

Looking for Maple alternatives? We've curated 8 top alternatives that offer similar functionality. Whether you need Mac OS X options, free plans, or open source solutions, explore our comprehensive list to find the perfect fit for your needs.

Commercial More about Maple

Categories:

Education & Reference

Platforms:

Windows 10 Mac 8 Linux 8 Web / Cloud 4 Android 1 iPhone 1 iPad 1 Clear Filter

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 Maple

Extremely powerful symbolic and numerical computation capabilities. compared to Maple

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 Maple

Powerful symbolic computation capabilities. compared to Maple

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 Maple

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

Julia

Open Source

Julia is a high-level, dynamic programming language designed for technical computing with performance comparable to traditional compiled languages. It excels in numerical analysis, data science, and scientific computing, offering a flexible environment for both rapid prototyping and high-performance code.

Key Features

Exceptional performance for numerical computations, often comparable to C or Fortran.
Flexible and dynamic language with a relatively clean syntax.
Powerful multiple dispatch system enhances code reusability and extensibility.

vs Maple

Exceptional performance for numerical computations, often comparable to C or Fortran. compared to Maple

Spyder

Open Source

Spyder is a comprehensive Scientific Python Development Environment (IDE) designed specifically for data scientists, engineers, and researchers using Python for scientific computing. It offers a rich set of tools for interactive data exploration, analysis, and visualization.

Key Features

Excellent integration with the scientific Python ecosystem (NumPy, SciPy, Pandas, Matplotlib).
Variable Explorer is highly effective for data inspection and manipulation.
Integrated IPython console allows for interactive code execution and exploration.

vs Maple

Excellent integration with the scientific Python ecosystem (NumPy, SciPy, Pandas, Matplotlib). compared to Maple

SymPy

Open Source

SymPy is a comprehensive Python library for symbolic mathematics. It empowers users to perform advanced mathematical computations, ranging from basic algebra and calculus to more complex concepts like differential equations and geometric algebra, all within the familiar Python environment.

Key Features

Provides exact symbolic results.
Seamless integration with the Python ecosystem.
Open source and free to use.

vs Maple

Provides exact symbolic results. compared to Maple

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 Maple

Comprehensive suite of statistical procedures. compared to Maple

Freemat

Open Source

FreeMat is a free and open-source environment designed for engineering and scientific prototyping, data analysis, and numeric computation. It provides a MATLAB-like environment for users working with mathematical and scientific data, focusing on ease of use and powerful analytical capabilities.

Key Features

Free and open-source alternative to commercial software.
Familiar syntax for users of MATLAB-like environments.
Comprehensive library of mathematical functions.

vs Maple

Free and open-source alternative to commercial software. compared to Maple

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 Maple

Extremely powerful symbolic and numerical computation capabilities. compared to Maple

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 Maple

Powerful symbolic computation capabilities. compared to Maple

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 Maple

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

Julia

Open Source

Julia is a high-level, dynamic programming language designed for technical computing with performance comparable to traditional compiled languages. It excels in numerical analysis, data science, and scientific computing, offering a flexible environment for both rapid prototyping and high-performance code.

Key Features

Exceptional performance for numerical computations, often comparable to C or Fortran.
Flexible and dynamic language with a relatively clean syntax.
Powerful multiple dispatch system enhances code reusability and extensibility.

vs Maple

Exceptional performance for numerical computations, often comparable to C or Fortran. compared to Maple

Spyder

Open Source

Spyder is a comprehensive Scientific Python Development Environment (IDE) designed specifically for data scientists, engineers, and researchers using Python for scientific computing. It offers a rich set of tools for interactive data exploration, analysis, and visualization.

Key Features

Excellent integration with the scientific Python ecosystem (NumPy, SciPy, Pandas, Matplotlib).
Variable Explorer is highly effective for data inspection and manipulation.
Integrated IPython console allows for interactive code execution and exploration.

vs Maple

Excellent integration with the scientific Python ecosystem (NumPy, SciPy, Pandas, Matplotlib). compared to Maple

SymPy

Open Source

SymPy is a comprehensive Python library for symbolic mathematics. It empowers users to perform advanced mathematical computations, ranging from basic algebra and calculus to more complex concepts like differential equations and geometric algebra, all within the familiar Python environment.

Key Features

Provides exact symbolic results.
Seamless integration with the Python ecosystem.
Open source and free to use.

vs Maple

Provides exact symbolic results. compared to Maple

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 Maple

Comprehensive suite of statistical procedures. compared to Maple

Freemat

Open Source

FreeMat is a free and open-source environment designed for engineering and scientific prototyping, data analysis, and numeric computation. It provides a MATLAB-like environment for users working with mathematical and scientific data, focusing on ease of use and powerful analytical capabilities.

Key Features

Free and open-source alternative to commercial software.
Familiar syntax for users of MATLAB-like environments.
Comprehensive library of mathematical functions.

vs Maple

Free and open-source alternative to commercial software. compared to Maple

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Mathematica vs Maple

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Maxima vs Maple

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wxMaxima vs Maple

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Spyder vs Maple

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IBM SPSS Statistics icon

IBM SPSS Statistics vs Maple

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Freemat vs Maple

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