Plotly

Website

plotly.com

Pricing URL

Official Plotly Pricing

$ Details

-

Categories

#Application And Data #Developer Tools #App Development #App Deployment #Data Visualization #Low Code

NVD3

Website

nvd3.org

Pricing URL

-

$ Details

Categories

#Charting Libraries #Data Visualization #Data Dashboard #Charting Tools And Libraries

Plotly features and specs

• 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 of Plotly

• 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.

NVD3 features and specs

• Reusable Charts
  NVD3 provides a variety of pre-built chart types that are easy to reuse and customize, saving developers time when creating standard visualization needs.
• Based on D3.js
  Utilizing D3.js ensures a high level of flexibility and the ability to integrate complex data manipulations with aesthetic chart outputs.
• Ease of Use
  NVD3 simplifies the process of generating complex visualizations by providing an intuitive API for interacting with D3.js charts.
• Responsive Design
  Many of the chart components are designed with responsiveness in mind, allowing them to adjust to different screen sizes and devices.

Possible disadvantages of NVD3

• Limited Updates
  NVD3 is not frequently updated, which may lead to compatibility issues or lack of support for newer web technologies.
• Learning Curve
  While it simplifies some aspects of D3.js, users still need to have a solid understanding of D3.js to fully leverage NVD3's capabilities, which can be steep for new users.
• Limited Customization
  Compared to directly using D3.js, NVD3 offers a more limited range of customization options for charts, potentially restricting designers looking for highly unique visualizations.
• Documentation Quality
  The documentation for NVD3 can be sparse or outdated, making it harder for developers to troubleshoot issues or learn best practices.

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

More videos:

No NVD3 videos yet. You could help us improve this page by suggesting one.

Add video