Top Alternatives to Sage

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.

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.

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.

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.

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.

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.

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.

Graph is a powerful, open-source application designed for visualizing and analyzing mathematical graphs in a Cartesian coordinate system. It's a versatile tool for students, educators, and anyone needing to plot functions and data points easily.