Skip to content

Matplotlib vs Redash

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

Matplotlib icon
Matplotlib
Redash icon
Redash

Matplotlib vs Redash: 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.

Redash: Redash is an open source business intelligence and data visualization tool. It allows you to connect to data sources like databases, query and visualize the data, and create interactive dashboards. Redash makes it easy to share insights with others.

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 Redash
Sugggest Score — —
Category Photos & Graphics Ai Tools & Services
Pricing — Open Source

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

Redash
Redash

Description: Redash is an open source business intelligence and data visualization tool. It allows you to connect to data sources like databases, query and visualize the data, and create interactive dashboards. Redash makes it easy to share insights with others.

Type: software

Pricing: Open Source

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
Redash
Redash Features
  • Connect to data sources like PostgreSQL, MySQL, Redshift, Google BigQuery, etc.
  • Write SQL queries and visualize results
  • Create interactive dashboards and charts
  • Schedule queries to refresh data automatically
  • Share dashboards and visualizations
  • Alerts and notifications
  • User management and access control
  • REST API and integrations

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)
Redash
Redash

Pros

  • Open source and free
  • Easy to set up and use
  • Support for many data sources
  • Powerful visualization capabilities
  • Collaboration features
  • REST API for integrations

Cons

  • Limited chart types compared to some BI tools
  • Can be resource intensive for large datasets
  • Lacks some enterprise features like audit logs

Pricing Comparison

Matplotlib
Matplotlib
  • Not listed
Redash
Redash
  • Open Source

Related Comparisons

Microsoft Power BI
vs Matplotlib vs Redash
Looker Studio
vs Matplotlib vs Redash

Learn More About Each Product

Matplotlib
Matplotlib
Reviews, pricing & alternatives →
Redash
Redash
Reviews, pricing & alternatives →

Ready to Make Your Decision?

Explore more software comparisons and find the perfect solution for your needs

Matplotlib Alternatives
Redash Alternatives
Browse More Software