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python(x,y) is an Open Source Product.

Pierre Raybaut & Grizzly Nyo has developed python(x,y)

Anaconda

Open Source

Anaconda is an open data science platform powered by Python.

GNU Octave

Open Source

GNU Octave is a programming language for scientific computing.

Graph

Open Source

Graph is an open source application used to draw mathematical graphs in a coordinate system.

Mathematica

Commercial

Wolfram Mathematica (usually termed Mathematica, Mathematica software suite) is a mathematical symbolic computation program.

Matplotlib

Open Source

Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.

Sage

Open Source

Sage offers business management, bookkeeping & accounting software to meet any business need, from small to midsized businesses.

GeoGebra

Open Source

GeoGebra is an interactive geometry, algebra, statistics and calculus application, intended for learning and teaching mathematics and science from primary schâ€¦

GnuPlot

Open Source

gnuplot is a command-line program that can generate two- and three-dimensional plots of functions, data, and data fits.

Julia

Open Source

Julia is a high-level, high-performance dynamic programming language for numerical computing.

MATLAB

Commercial

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language.

Origin

Commercial

Origin is the data analysis and graphing software.

SciDaVis

Open Source

SciDAVis is a free application for Scientific Data Analysis and Visualization.

Compare Anaconda and python(x,y) and decide which is most suitable for you.

Compare GeoGebra and python(x,y) and decide which is most suitable for you.

Compare GNU Octave and python(x,y) and decide which is most suitable for you.

Compare GnuPlot and python(x,y) and decide which is most suitable for you.

Compare Mathematica and python(x,y) and decide which is most suitable for you.

Compare Matplotlib and python(x,y) and decide which is most suitable for you.

Compare SciDaVis and python(x,y) and decide which is most suitable for you.