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Plotly vs pyup.io

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

Plotly icon
Plotly
pyup.io icon
pyup.io

Plotly vs pyup.io: The Verdict

⚡ Summary:

Plotly: Plotly is an open-source graphing library for Python, R, JavaScript, and Excel. It allows users to create interactive, publication-quality graphs, charts, and dashboards that can be embedded in websites and apps. Plotly is useful for data analysis and visualization.

pyup.io: pyup.io is a service that helps Python developers manage their dependencies and keep their applications secure. It monitors Python packages for updates and security vulnerabilities, and can automatically create pull requests to update outdated packages.

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 Plotly pyup.io
Sugggest Score — —
Category Data Visualization Development
Pricing Open Source —

Product Overview

Plotly
Plotly

Description: Plotly is an open-source graphing library for Python, R, JavaScript, and Excel. It allows users to create interactive, publication-quality graphs, charts, and dashboards that can be embedded in websites and apps. Plotly is useful for data analysis and visualization.

Type: software

Pricing: Open Source

pyup.io
pyup.io

Description: pyup.io is a service that helps Python developers manage their dependencies and keep their applications secure. It monitors Python packages for updates and security vulnerabilities, and can automatically create pull requests to update outdated packages.

Type: software

Key Features Comparison

Plotly
Plotly Features
  • Interactive data visualization
  • Support for Python, R, JavaScript, Excel
  • 2D and 3D plotting
  • Statistical charts
  • Dashboards
  • Collaboration tools
  • Exporting and sharing
pyup.io
pyup.io Features
  • Monitors Python dependencies for updates
  • Checks for security vulnerabilities in dependencies
  • Automatically creates pull requests to update dependencies
  • Integrates with GitHub, GitLab, and Bitbucket
  • Provides email notifications about dependency updates
  • Offers scheduling options for dependency checks
  • Supports private repositories and self-hosted options

Pros & Cons Analysis

Plotly
Plotly

Pros

  • User-friendly
  • High-quality visualizations
  • Cross-platform compatibility
  • Open source and free
  • Large gallery of examples
  • Active community support

Cons

  • Steep learning curve
  • Limited customization compared to matplotlib
  • Online dependency for full functionality
  • Freemium pricing model limits features
pyup.io
pyup.io

Pros

  • Saves time keeping dependencies up-to-date
  • Improves application security
  • Easy integration with popular code repositories
  • Automation frees up developer time
  • Flexible scheduling and notifications
  • Works for both public and private code

Cons

  • Requires integrating another service into your workflow
  • Potential for too many automatic pull requests
  • Less flexibility than managing dependencies manually
  • Free plan lacks some features like private repos
  • Requires sharing repository access with the service

Pricing Comparison

Plotly
Plotly
  • Open Source
pyup.io
pyup.io
  • Not listed

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Learn More About Each Product

Plotly
Plotly
Reviews, pricing & alternatives →
pyup.io
pyup.io
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