Top Alternatives to python(x,y)

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.

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.

GeoGebra is a powerful, multi-platform dynamic mathematics software that combines geometry, algebra, statistics, and calculus. It provides a user-friendly interface for interactive exploration and visualization of mathematical concepts, making it an invaluable tool for students and educators from primary school to university.

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.

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.

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.

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.

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.

SciDAVis is a free and open-source application for scientific data analysis and visualization, providing powerful tools for plotting and data manipulation specifically designed for scientists and engineers.

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.

Origin is a powerful data analysis and graphing software widely used in scientific and engineering fields for creating publication-quality graphs and performing sophisticated data analysis.