
MATLAB
CommercialMATLAB 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.
Looking for SciPy & Numpy alternatives? We've curated 12 top alternatives that offer similar functionality. Whether you need options, free plans, or open source solutions, explore our comprehensive list to find the perfect fit for your needs.
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.
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.
Scilab is an open-source, cross-platform software for numerical computation, offering a high-level, numerically oriented programming language and large collection of functionalities. It is widely used in scientific and engineering applications.
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.
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.
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.
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.
Anaconda is a comprehensive platform for data science, facilitating package management, environment management, and distribution of Python and R programming languages. It simplifies the workflow for data professionals.
fxSolver is a powerful online tool designed for solving complex mathematical, scientific, and engineering equations with ease. It features a vast library of formulas and a user-friendly interface, allowing users to input, solve, and visualize equations and data.
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.
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.
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.
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.
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.
Scilab is an open-source, cross-platform software for numerical computation, offering a high-level, numerically oriented programming language and large collection of functionalities. It is widely used in scientific and engineering applications.
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.
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.
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.
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.
Anaconda is a comprehensive platform for data science, facilitating package management, environment management, and distribution of Python and R programming languages. It simplifies the workflow for data professionals.
fxSolver is a powerful online tool designed for solving complex mathematical, scientific, and engineering equations with ease. It features a vast library of formulas and a user-friendly interface, allowing users to input, solve, and visualize equations and data.
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.
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.
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.
Want to see how SciPy & Numpy stacks up against alternatives? Select any option below for a detailed comparison.