Top Alternatives to GNU Octave

Wolfram Alpha is a computational knowledge engine that directly computes answers and provides curated data across a vast range of subjects, rather than merely linking to documents. It serves as a powerful tool for calculation, data analysis, and knowledge exploration using natural language input.

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.

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.

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.

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.

GMDH Shell is a powerful yet accessible software designed for predictive analytics and data mining. It empowers users to perform advanced data analysis, forecasting, and modeling without requiring extensive programming knowledge, making it ideal for business professionals and data scientists alike.

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.