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Plotly VS AG Grid

Compare Plotly VS AG Grid and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

AG Grid logo AG Grid

The best HTML5 datagrid in the world
  • Plotly Landing page
    Landing page //
    2023-07-31
  • AG Grid Landing page
    Landing page //
    2023-08-02

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.

AG Grid features and specs

  • Highly Customizable
    AG Grid provides extensive customization options to tailor the grid's appearance and behavior, allowing developers to adjust the grid according to specific project requirements.
  • Rich Feature Set
    It offers a comprehensive set of features including filtering, sorting, grouping, and pivoting, which can cater to complex data visualization needs.
  • Performance
    AG Grid is optimized for handling large datasets efficiently, providing smooth scrolling and quick data operations without significant lag.
  • Wide Range of Integrations
    It supports integration with major frontend frameworks like Angular, React, and Vue, enabling seamless incorporation into diverse tech stacks.
  • Community and Enterprise Editions
    AG Grid offers both free and paid versions, allowing users to choose based on budget and feature requirements, with enterprise options including additional advanced features.

Possible disadvantages of AG Grid

  • Complexity
    Due to its extensive feature set, AG Grid has a steep learning curve, which can be overwhelming for beginners.
  • Size
    The library can be quite large, potentially affecting the initial load time of applications that require quick startup performance.
  • Cost for Enterprise Features
    To access the most advanced features, users need to purchase the enterprise version, which may not be feasible for small projects or teams with limited budgets.
  • Overhead for Simple Use Cases
    For projects that require only basic grid functionalities, AG Grid might be overkill, leading to unnecessary complexity and resource usage.
  • Documentation Depth
    While documentation is generally comprehensive, it can sometimes lack depth in explaining specific use cases or advanced customization, requiring additional time for exploration and experimentation.

Analysis of Plotly

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 videos

+ Add

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

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

AG Grid videos

+ Add

ag-Grid Conf 2018 | Complexity and Performance | Niall Crosby

More videos:

  • Review - All about ag-grid in angular 6
  • Review - Track 1 Day 2 Livestream | AngularConnect 2019 | Sponsored by ag-Grid

Category Popularity

0-100% (relative to Plotly and AG Grid)

Plotly

AG Grid

Data Visualization
100 100%
Data Visualization
0% 0
Data Grid
0 0%
Data Grid
100% 100
Data Dashboard
89 89%
Data Dashboard
11% 11
Design Tools
0 0%
Design Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and AG Grid

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
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.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
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 scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
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 visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

AG Grid Reviews

Using AG Grid in React: Guide and alternatives
In this guide, we introduced the basic functionalities of the ag-grid-react library and demonstrated how to use AG Grid to build and style a data grid in a React app. To compare alternatives to AG Grid, also built a similar data grid in TanStack Table, Glide Data Grid, and MUI Data Grid. Each library has a unique set of features and tradeoffs, so it’s important to choose the...
Source: blog.logrocket.com
The Best React Data Grid/Table Libraries with Material Design in 2023 - MRT Blog
The "AG" in AG Grid stands for "Agnostic Grid," which means that the library works in multiple JavaScript Frameworks besides React. On the same note, though, AG Grid does not use Material UI under the hood like all of the other libraries on this list. However, it does stick very close to Material Design, so it will not stick out too far from the rest of the components in...
Source: www.material-react-table.com
Best Free and Open-Source JavaScript Data Grid Libraries and Widgets
AG Grid calls itself the best JavaScript library for creating data tables, and for good reason. Major highlights of the library include its excellent performance, no dependency on third-party libraries, and smooth integration with all the major JavaScript frameworks such as Angular, React, and Vue.js. This goes without saying, but you can also use the library with plain...
Source: code.tutsplus.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than AG Grid. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    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 / 3 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    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 abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 5 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 12 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

AG Grid mentions (10)

  • My Failed Student Housing App
    I made extensive use of AG Grid. There are LiveView hooks and whatnot showing how I loaded data, and stylized different types like bools, links, and status. - Source: dev.to / about 1 year ago
  • Supporting Circularly Referenced Mapped Types in Typescript
    In the remainder of this post I will share how I resolved this error for a type called NestedFieldPaths that is a key part of the AG Grid library. - Source: dev.to / over 1 year ago
  • Generate array of all an interface's keys with Typescript
    When working with a large and complex code base like AG Grid it is very easy to miss updating certain parts of the code base. - Source: dev.to / over 2 years ago
  • Does Angular Support Generic Component Types?
    To give a concrete example of the breakdown in inference we can look at the ag-grid-angular component from AG Grid. This component is generic with respect to row data. It is defined in the following way with many properties omitted for brevity. - Source: dev.to / almost 3 years ago
  • Write Typescript in the browser with SystemJs
    Yes, this does require you to get your SystemJs config setup right but that is why I am sharing this starter that I used for our AG Grid demos so that you can get started easily. - Source: dev.to / over 3 years ago
View more

What are some alternatives?

When comparing Plotly and AG Grid, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Handsontable - JavaScript Spreadsheet

Chart.js - Easy, object oriented client side graphs for designers and developers.

Bryntum - High performance web components for SaaS apps - including Gantt, Scheduler, Grid, Calendar and Kanban widgets. Seamless integration with React, Vue, Angular or plain JS apps.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

ZingGrid - Built using web components, ZingGrid is a fully-featured, native solution for interactive, mobile-friendly JavaScript data grids and tables.

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