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What is D3.js?

D3.js is a JavaScript library for manipulating documents based on data.

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Users have found this product to be incredibly useful for processing and formatting data to be used with other libraries. It has become …
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What is D3.js?

D3.js is a JavaScript library for manipulating documents based on data.

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Product Demos

D3.js Tutorial - A Demo with Examples using D3.js


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Interactive D3.js Crossfilter Dashboard Demo 2


Django d3.js - Basic HR Analytics

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Product Details

What is D3.js?

D3.js Technical Details

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Mobile ApplicationNo
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Reviews and Ratings


Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Users have found this product to be incredibly useful for processing and formatting data to be used with other libraries. It has become the go-to resource for creating simple and appealing graphs, thanks to its user-friendly interface and extensive customization options. Additionally, the product has been widely used for plotting Hurst cycles and Stock charts, making it a valuable tool for financial professionals.

Many data scientists and professionals seeking courses in data visualization rely on this product due to its versatility and robust features. Users have found it fascinating to use this product to display relationships between words on social media and analyze statistics. The tool's ability to create interactive visualizations has also made it a commonly used tool in web projects, and it is often introduced to students as an introductory tool for visualizing datasets.

In addition to its ease of use, users appreciate the flexibility of this product, making it their preferred choice for data visualization tasks. It has been utilized to address various business problems related to data visualization, such as creating interactive maps and generating insightful data plots. Overall, D3.js provides a wide range of data visualization charts that help users gain insights and make informed decisions based on their data.

Advanced and Customizable Library: Users have found the library to be more advanced and customizable than other options available. Several reviewers have stated that it offers a wide range of functionalities for data processing, allowing users to create visually appealing components and charts that can be displayed on any browser.

Comprehensive Feature Set and Helpful Documentation: Many users appreciate the feature set of the library, mentioning that it has everything they would expect. They also find the documentation to be helpful, as it provides sample code for each charting type, making it easier for users to get started with their visualizations.

Efficient Handling of Large Datasets: Reviewers have highlighted the capabilities of the library in handling large datasets and creating custom visualizations. One user mentioned that they were able to plot their complete sales force data on a world map using the library. This demonstrates its efficiency in managing significant amounts of data while still providing clear visibility when plotted or displayed on the page.

Some users have expressed that working with the library requires a decent amount of coding experience. They feel that familiarity with programming concepts is necessary to effectively utilize the features of D3.

A common concern among users is the lack of consistency in creating different types of charts using D3. This often requires building different data structures and performing additional processing, which can be time-consuming and challenging for some reviewers.

The limitation of D3 only generating SVGs for displaying data has been mentioned by several users. They point out that SVGs are rendered using the CPU, which can lead to browser freezing when dealing with large datasets. This restriction may hinder performance and user experience in certain scenarios.

Attribute Ratings


(1-3 of 3)
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Score 9 out of 10
Vetted Review
Verified User
D3.js helps us to visualize the data using various data visualization charts available from the library, it helps to give more insight into the dynamic data of the application and helps the user to make the sound decisions looking at the visualization charts.
  • Wide variety of visualization collections.
  • Easy to customize existing visualization collections and add extended functionality.
  • It takes some learning curve, but after that, it's easy to reuse across multiple similar problems with little changes.
  • Documentation can be improved a little more.
  • More innovative visualization charts can be added.
  • Also, the development community to answer questions and more educational videos to make our learning path easier.
It's well suited for dynamic data, especially when multiple users are using the application and generating data, it helps us to get analytics of the data for users.
  • Customization Charts help to give more insight into the dynamic data.
  • Analytics of the user data can be visualized and helps the user to better analyze and understand the data.
  • The initial learning curve of how to use the D3.js
D3.js gives a better aesthetic feel on the charts and as a developer, it gives more options to customize on the charts.
Support can be improved by providing more educational videos.
Sanyam Jain | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
I use Data Driven Documents for all my data visualization problems and cases. I use it more often than other data visualization tools because of the ease and flexibility of the tool. Business problems which are addressed are data visualization, interactive maps and data plots.
  • It is very easy to customize using D3.js. Animations, Interactivity, and data-driven plots make it a great framework to use.
  • JSON and CSV, all formats are integrable and converted to have data flexibility in D3.js.
  • Mostly heat maps, transitions, and effects are achieved using D3.js.
  • Hard to code, not a kids play toy.
  • No tutorial from official documentation.
  • Requires web development experience.
D3.js is appropriate when you have a pre-requisite knowledge of JavaScript. One must find alternatives if they don't have prior experience with JS.
  • Rapid Development using templates helps faster delivery of the project.
  • Documentation requires a lot of time to study.
  • D3 creates high-quality visual effects which can be used over large screens.
  • Tableau Desktop and Anaconda
Python libraries and Tableau do not provide much flexibility in data visualization.
Tableau Desktop, Anaconda
Firaz Peer | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
D3.js is used across multiple classes, as an introduction to students who'd like to visualize datasets on the web. Many students use it for class projects and demos as well.
  • It provides multiple ways of visualizing data easily.
  • It is fast and light on system resources. It is built with JavaScript and visualizations can be easily hosted on the web across browsers.
  • It has a huge community backing it so it is easy to find people to help with whatever you're doing.
  • Has a steep initial learning curve.
  • It is slow when dealing with really large datasets.
  • Not great for making maps.
D3.js is great for visualizing with medium and small size datasets. It's also great for prototyping visualizations quickly and sharing on the web so others can view it without having to install any software on their machines.
  • We've only used D3.js as a tool to learn data visualization and programming.
Protoviz does not require as much knowledge of programming to build visualizations as with D3.js or Google Charts. Highcharts or AnyChart are other alternatives that are more specific to building charts only.
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