3DiVi Face SDK vs. D3.js

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

Incentivized

• 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.

Incentivized

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

Incentivized

Support can be improved by providing more educational videos.

Incentivized

D3.js gives a better aesthetic feel on the charts and as a developer, it gives more options to customize on the charts.

Incentivized

• 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.

Incentivized