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Matplotlib vs Probely

Professional comparison and analysis to help you choose the right software solution for your needs.

Matplotlib icon
Matplotlib
Probely icon
Probely

Matplotlib vs Probely: The Verdict

⚡ Summary:

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.

Probely: Probely is a web analytics platform that focuses on session recordings and form analytics. It allows you to record visitors' sessions to see exactly how they use your website or app. Probely also provides detailed form analytics to help understand and optimize conversion funnels.

Both tools serve their respective audiences. Compare the features, pricing, and user ratings above to determine which best fits your needs.

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature Matplotlib Probely
Sugggest Score — —
Category Photos & Graphics Online Services

Product Overview

Matplotlib
Matplotlib

Description: 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.

Type: software

Probely
Probely

Description: Probely is a web analytics platform that focuses on session recordings and form analytics. It allows you to record visitors' sessions to see exactly how they use your website or app. Probely also provides detailed form analytics to help understand and optimize conversion funnels.

Type: software

Key Features Comparison

Matplotlib
Matplotlib Features
  • 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
Probely
Probely Features
  • Session recordings
  • Heatmaps
  • Form analytics
  • Funnel analysis
  • A/B testing
  • Custom events tracking

Pros & Cons Analysis

Matplotlib
Matplotlib

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)
Probely
Probely

Pros

  • Detailed visitor session recordings
  • Integration with popular tools like Google Analytics
  • Affordable pricing
  • Easy to set up and use

Cons

  • Limited to web analytics
  • Less advanced features than some competitors
  • Can only analyze your own website data

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Matplotlib
Matplotlib
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Probely
Probely
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