D3.js Reviews & Insights

Score8.9 out of 10

11 Reviews and Ratings

Community insights

TrustRadius Insights for D3.js are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

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.

Reviews

3 Reviews

Great Developer Friendly Visualization Tool

Rating: 9 out of 10

Incentivized

October 24, 2019

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Verified User

Engineer in Information Technology (51-200 employees)

Vetted Review

1 year of experience

D3.js for Data Visualization

Rating: 8 out of 10

Incentivized

May 10, 2019

Use Cases and Deployment Scope

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.

Pros

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.

Cons

Hard to code, not a kids play toy.
No tutorial from official documentation.
Requires web development experience.

Likelihood to Recommend

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.

Sanyam Jain

Freelancer in RPA in Information Technology at Self employed (11-50 employees)

Vetted Review

1 year of experience

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D3.js Provides Ease and Variety That Isn't for All

Rating: 8 out of 10

Incentivized

September 9, 2016

Use Cases and Deployment Scope

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.

Pros

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.

Cons

Has a steep initial learning curve.
It is slow when dealing with really large datasets.
Not great for making maps.

Likelihood to Recommend

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.

Firaz Peer

Fellow in Research & Development at Georgia Institute of Technology (5001-10,000 employees)

Vetted Review

1 year of experience

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