Plotly

Website

plotly.com

Pricing URL

Official Plotly Pricing

Categories

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

nbviewer.org

Website

nbviewer.org

Pricing URL

-

Categories

#Data Science And Machine Learning #Data Science Notebooks #Data Visualization #Technical Computing

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.

nbviewer.org features and specs

• Simple Viewing
  nbviewer.org allows for easy rendering of Jupyter Notebook files directly in the browser without needing to run a Jupyter server locally.
• Read-Only Access
  Notebooks are rendered in a read-only format, so users do not need to worry about accidental modifications while viewing.
• No Installation Required
  Users don't need to install any software to view notebooks, which is beneficial for quick sharing with people who do not have Jupyter installed.
• Supports Multiple File Sources
  Supports notebooks from various sources including URLs, GitHub repositories, and uploaded files.

Possible disadvantages of nbviewer.org

• Lack of Interactivity
  Since nbviewer renders notebooks in a static, read-only mode, users cannot interact with the code or execute cells.
• Dependency on External Hosting
  Requires access to hosted content, which may be unavailable if the source server is down or if there are network issues.
• Security Concerns
  Hosting a notebook publicly via a URL or GitHub can expose sensitive data if not properly managed, as nbviewer does not provide authentication or access control.
• No Offline Access
  Users need an internet connection to use nbviewer, which limits its utility in offline scenarios.

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

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