MATLAB Alternatives for Linux

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.

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.

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.

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.

Gnuplot is a portable, command-line driven graphing utility for interactive and non-interactive use. It can generate various plots of functions, data, and data fits in two and three dimensions. Widely used in scientific settings, it supports numerous output formats.

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.

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.

Matplotlib is a comprehensive plotting library for Python, enabling the creation of static, animated, and interactive visualizations in a variety of formats. It is widely used in scientific computing and data analysis.

Orange is an open-source, visual programming platform for interactive data analysis and machine learning. It offers a comprehensive suite of tools for data mining, data visualization, predictive modeling, and text analytics through a user-friendly interface.

SMath Studio is a powerful, freeware mathematical notebook application offering a user-friendly environment for complex calculations, equation solving, and data visualization.

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.