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Which is more popular?
Based on our record, DataTables
should be more popular than Plotly.
It has been mentioned 74 times since March 2021.
social mentions
74 vs 34
Development Tools popularity
100% vs 0%
alternatives listed
222 vs 240+
Base details
Website, pricing, platforms and company facts side by side.
Feature-Rich DataTables provides a vast array of features: pagination, filtering, sorting, and customizable buttons, which can cater to various data handling needs in web applications.
Easy to Use Its straightforward implementation and extensive documentation make it simple for developers to integrate DataTables into their projects.
Extensible DataTables supports a variety of plugins and extensions, such as Editor for rich editing capabilities and FixedColumns for better column handling, allowing for enhanced functionality.
Cross-platform Compatibility It works consistently across different browsers and devices, providing a reliable user experience regardless of the end user's environment.
Community and Support A large and active community, along with official support forums, provide assistance, plugins, and extensions, contributing to a rich ecosystem.
Possible disadvantages
Performance Issues Handling very large datasets might lead to performance bottlenecks, requiring server-side processing or additional optimization strategies.
Complexity in Customization While customization is possible, it can sometimes be complex and time-consuming, especially for non-standard functionalities or appearances.
Dependencies DataTables rely on jQuery, which might be an additional overhead for projects not already using jQuery or those aiming to minimize dependencies.
Learning Curve To fully leverage DataTables' advanced features and customization options, developers might need to invest time in understanding the API and various options.
License Restrictions While DataTables is generally free to use under the MIT license, some advanced plugins and extensions are commercial and require purchase.
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.
Analysis
An editorial look at what each product does well and who it suits.
DataTablesPlotly
Overall verdict
DataTables is generally considered a good library for handling interactive tables in web applications. It is well-suited for projects that require robust table manipulation features and can accommodate a variety of needs through its extensive customization options.
Why this product is good
DataTables is a popular jQuery plugin that is widely known for its ability to enhance HTML tables with advanced interaction controls. It offers features like pagination, instant search/filtering, multi-column ordering, and responsive table design. Its extensibility with various plugins and themes, along with a comprehensive documentation, makes it a versatile choice for many web development projects.
Recommended for
Developers looking for an out-of-the-box solution for interactive and feature-rich tables.
Projects that require quick integration of data manipulation features in tables.
Applications that need extensive customization and scalability of table data handling.
Overall verdict
Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.
Why this product is good
Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.
Recommended for
Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering...
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data...
Recommendations tracked on public social media and blogs since March 2021.
DataTables74 mentionsPlotly34 mentions
UX DataTables in 2026: typed columns, server-side processing, API Platform, Mercure and inline editing
A while ago I wrote a first post introducing UX DataTables, a Symfony bundle that integrates the DataTables.net library into Symfony applications.
- Source: dev.to
/
5 months ago
Not much is going to compete directly with React's ecosystem maturity. But, of course, there's the option you have when using a non-React library in React: on mount, you instantiate the library in a ref, and then you use effects to turn...
- Source: Hacker News
/
over 1 year ago
ASP.NET8 using DataTables.net – Part8 – Select rows
//datatables.js
/*
* This combined file was created by the DataTables downloader builder:
* https://datatables.net/download
*
* To rebuild or modify this file with the latest versions of the included
* software please visit:
* ...
- Source: dev.to
/
almost 2 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization.
- Source: dev.to
/
8 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online.
- Source: dev.to
/
over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely...
- Source: dev.to
/
almost 2 years ago
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