MagicPlot Viewer vs Matplotlib

Struggling to choose between MagicPlot Viewer and Matplotlib? Both products offer unique advantages, making it a tough decision.

MagicPlot Viewer is a Science & Engineering solution with tags like viewer, 2d-plots, 3d-plots, charts, equations, data-visualization.

It boasts features such as View 2D and 3D plots, View charts and graphs, View equations and fit data, Zoom, pan, rotate 3D plots, Copy images to clipboard, Print and export to PDF, Switch between multiple plots and pros including Free and easy to use, Allows viewing MagicPlot files without a license, Good for sharing plots with others, Prints and exports plots.

On the other hand, Matplotlib is a Photos & Graphics product tagged with plotting, graphs, charts, visualization, python.

Its standout features include 2D plotting, Publication quality output, Support for many plot types (line, bar, scatter, histogram etc), Extensive customization options, IPython/Jupyter notebook integration, Animations and interactivity, LaTeX support for mathematical typesetting, and it shines with pros like Mature and feature-rich, Large user community and extensive documentation, Highly customizable, Integrates well with NumPy, Pandas and SciPy, Output can be saved to many file formats.

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.

MagicPlot Viewer

MagicPlot Viewer

MagicPlot Viewer is a free software used to view MagicPlot project files. It allows opening mpprj files to visualize 2D and 3D plots, charts, equations and fit data without requiring a MagicPlot license.

Categories:
viewer 2d-plots 3d-plots charts equations data-visualization

MagicPlot Viewer Features

  1. View 2D and 3D plots
  2. View charts and graphs
  3. View equations and fit data
  4. Zoom, pan, rotate 3D plots
  5. Copy images to clipboard
  6. Print and export to PDF
  7. Switch between multiple plots

Pricing

  • Free

Pros

Free and easy to use

Allows viewing MagicPlot files without a license

Good for sharing plots with others

Prints and exports plots

Cons

Cannot edit or modify plots

Limited to viewing only

Less features than full MagicPlot software


Matplotlib

Matplotlib

Matplotlib is a comprehensive 2D plotting library for Python that allows users to create a wide variety of publication-quality graphs, charts, and visualizations. It integrates well with NumPy and Pandas data structures.

Categories:
plotting graphs charts visualization python

Matplotlib Features

  1. 2D plotting
  2. Publication quality output
  3. Support for many plot types (line, bar, scatter, histogram etc)
  4. Extensive customization options
  5. IPython/Jupyter notebook integration
  6. Animations and interactivity
  7. LaTeX support for mathematical typesetting

Pricing

  • Open Source

Pros

Mature and feature-rich

Large user community and extensive documentation

Highly customizable

Integrates well with NumPy, Pandas and SciPy

Output can be saved to many file formats

Cons

Steep learning curve

Plotting code can be verbose

3D plotting support is limited

Cannot do web visualization (unlike Bokeh or Plotly)