Mathomatic vs python(x,y)

Struggling to choose between Mathomatic and python(x,y)? Both products offer unique advantages, making it a tough decision.

Mathomatic is a Education & Reference solution with tags like algebra, calculus, plotting, cas.

It boasts features such as Symbolic math calculations, Algebraic manipulation, Calculus - derivatives, integrals, limits, Matrix operations, 2D and 3D plotting, Statistics - regression, distributions, Boolean logic, Numerical calculations with unlimited precision and pros including Free and open source, Lightweight and fast, Easy to use syntax, Cross-platform - works on Linux, Mac, Windows, Can be used as a library in other programs.

On the other hand, python(x,y) is a Development product tagged with plotting, data-visualization, charts, graphs.

Its standout features include 2D and 3D plotting, Statistical graphs, Image processing and display, GUI widgets for user interfaces, Support for various file formats, and it shines with pros like Open source and free to use, Large collection of plotting functions, Highly customizable plots, Interactively explore and visualize data, Integrates well with NumPy and SciPy.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Mathomatic

Mathomatic

Mathomatic is a free, open-source computer algebra system (CAS) software for symbolic mathematics. It can perform various mathematical operations like algebraic manipulation, calculate derivatives and integrals, matrix operations, plot graphs, and more. Mathomatic is lightweight, easy to use, and supports unlimited precision numerical calculations.

Categories:
algebra calculus plotting cas

Mathomatic Features

  1. Symbolic math calculations
  2. Algebraic manipulation
  3. Calculus - derivatives, integrals, limits
  4. Matrix operations
  5. 2D and 3D plotting
  6. Statistics - regression, distributions
  7. Boolean logic
  8. Numerical calculations with unlimited precision

Pricing

  • Open Source

Pros

Free and open source

Lightweight and fast

Easy to use syntax

Cross-platform - works on Linux, Mac, Windows

Can be used as a library in other programs

Cons

Limited documentation

Not as full-featured as commercial CAS systems

User interface is primitive

Lacks some advanced math functions


python(x,y)

python(x,y)

python(x,y) is an open-source mathematical plotting and data visualization library for the Python programming language. It provides a simple interface for creating 2D plots, histograms, power spectra, bar charts, errorcharts, contour plots, etc.

Categories:
plotting data-visualization charts graphs

Python(x,y) Features

  1. 2D and 3D plotting
  2. Statistical graphs
  3. Image processing and display
  4. GUI widgets for user interfaces
  5. Support for various file formats

Pricing

  • Open Source
  • Free

Pros

Open source and free to use

Large collection of plotting functions

Highly customizable plots

Interactively explore and visualize data

Integrates well with NumPy and SciPy

Cons

Steep learning curve

Documentation can be lacking

3D plotting is limited

Not ideal for web application backends