Plotly

Website

plotly.com

Pricing URL

Official Plotly Pricing

$ Details

-

Categories

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

Apache Superset

Website

superset.apache.org

Pricing URL

-

$ Details

Categories

#Data Analysis And Visualization #Business Intelligence #Data Dashboard #Data Visualization

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.

Apache Superset features and specs

• Open Source
  Apache Superset is fully open source, allowing users to modify and extend it as needed without any licensing fees.
• Rich Visualization Options
  Superset offers a wide range of pre-built visualization types, including pie charts, line charts, and maps, allowing for versatile data representation.
• SQL Lab
  The SQL Lab feature makes it easy to explore and query data in a natural SQL interface, which is highly valuable for analysts and data scientists.
• Lightweight
  Superset is designed to be a lightweight platform, making it relatively easy to set up and manage compared to more cumbersome BI tools.
• Extensibility
  With its plugin architecture, Superset can be extended to support additional visualizations and data sources, which makes it highly customizable.
• Community and Ecosystem
  As part of the Apache Software Foundation, Superset benefits from a robust community and a broad ecosystem of tools and integrations.

Possible disadvantages of Apache Superset

• Steep Learning Curve
  New users may find it difficult to get started with Superset due to its wide array of features and technical jargon.
• Limited Documentation
  While there is community-driven documentation, it may not be as comprehensive or up-to-date as needed, posing challenges during troubleshooting.
• Resource Intensive
  Superset can be resource-intensive and may require significant optimization to run efficiently, especially with large datasets or numerous concurrent users.
• Basic User Management
  User management features are somewhat basic compared to other BI tools, lacking advanced role-based access control and detailed audit logs.
• Less Polished UI
  The user interface, while functional, may not be as polished or intuitive as some of the commercial alternatives, impacting the user experience.
• Scaling Issues
  Superset can face scalability challenges when dealing with massive datasets or a high number of concurrent users, though ongoing improvements are being made.

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

More videos:

Observing Intraday Indicators Using Real-Time Tick Data on Apache Superset and Druid

More videos: