Plotly VS Highcharts

• Interactivity
  Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
• High-quality visualizations
  It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
• Versatility
  Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
• Python integration
  Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
• Web-based
  The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
• Open-source
  Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages

• Performance
  Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
• Learning curve
  Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
• Cost for advanced features
  While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
• Dependency management
  Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
• Complexity
  For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

• Customization
  Highcharts provides extensive options to customize chart appearance and functionality, allowing for a tailored and specific data visualization experience.
• Cross-Browser Compatibility
  Highcharts ensures compatibility across a wide range of browsers, making charts accessible to users regardless of their browser preferences.
• Wide Range of Chart Types
  Offers a broad spectrum of chart types, including line, bar, pie, scatter, and more, catering to various data visualization needs.
• Interactive Features
  Includes numerous interactive features such as tooltips, zooming, and clickable points, enhancing user engagement with the data.
• Strong Community and Support
  Has an active community and provides extensive documentation, forums, and professional support options to assist users in overcoming challenges.
• Performance
  Optimized for high performance, allowing for the rendering of large datasets without significant lag or performance issues.
• Exporting and Sharing
  Built-in options for exporting charts to various formats (PNG, JPEG, PDF, etc.) and sharing them easily.

Possible disadvantages

• Cost
  Highcharts is not free for commercial use, which may be a drawback for small businesses or individual developers with limited budgets.
• Steep Learning Curve
  Despite comprehensive documentation, the abundance of features and customization options can result in a steeper learning curve for new users.
• Dependency on JavaScript
  As a JavaScript library, Highcharts requires a solid understanding of JavaScript, making it less accessible for developers not familiar with the language.
• Limited Free Support
  While there is a free support forum, professional support options are paid, which can be a limitation for users needing urgent assistance without extra costs.
• Mobile Responsiveness
  Although Highcharts provides some support for mobile responsiveness, achieving optimal performance and displays on all device types may require additional customization.

Create Real-time Chart with Javascript | Plotly.js Tutorial

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Tracking Highcharts since Mar 2021.