Mathematica Alternatives for Linux

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.

GNU Octave is a high-level programming language primarily intended for numerical computations. It provides a convenient command-line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments.

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.

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.

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.

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.

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.

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.

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.

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.

GraphCalc is a classic open-source graphing calculator software designed for Windows and Linux. It provides robust mathematical computation and visualization capabilities for students and professionals.

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.