python(x,y) vs wxMaxima : Which is Better?

python(x,y) icon

python(x,y)

Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python. Developed by Pierre Raybaut & Grizzly Nyo

License: Open Source

Categories: Education & Reference

Apps available for Windows

VS
VS
wxMaxima icon

wxMaxima

Maxima is a computer algebra system based on a version of Macsyma.

License: Open Source

Categories: Education & Reference

Apps available for Mac OS X Windows Linux

python(x,y) VS wxMaxima Feature comparision

Feature python(x,y) wxMaxima
ANOVA test
Graphing calculator
Algebra
Export to HTML
Export to LaTeX
File-sync
Simulink
Batch plotting
Embedded debugger
PowerShell Scripting
Python
Symbolic Computation
Calculus solving
Constructive geometry
Equation solving
Run from python interpreter
Automatic JIT compilation on code change
Compiled Language
Compiler
Parallel Computing
Python IDE
Simulation
Formula Builder
Equation editor
Built-in editor
Education
*community curated information: This table may not have the most accurate information. Please suggest changes

Compare python(x,y)

vs
Compare Anaconda and python(x,y) and decide which is most suitable for you.
vs
Compare GeoGebra and python(x,y) and decide which is most suitable for you.
vs
Compare GNU Octave and python(x,y) and decide which is most suitable for you.
vs
Compare GnuPlot and python(x,y) and decide which is most suitable for you.
vs
Compare Graph and python(x,y) and decide which is most suitable for you.
vs
Compare Julia and python(x,y) and decide which is most suitable for you.
vs
Compare Mathematica and python(x,y) and decide which is most suitable for you.
vs
Compare MATLAB and python(x,y) and decide which is most suitable for you.
vs
Compare Matplotlib and python(x,y) and decide which is most suitable for you.
vs
Compare Origin and python(x,y) and decide which is most suitable for you.
vs
Compare Sage and python(x,y) and decide which is most suitable for you.
vs
Compare SciDaVis and python(x,y) and decide which is most suitable for you.