If you’re building an app that requires visualizing large amounts of connected data, you may be considering using a JS graph library to help you visualize and interact with your data. A JS graph visualization library can help you solve common business and technical challenges for a variety of use cases and across many types of organizations.
Let’s look at why this type of library could meet your data visualization needs.
In recent years, the amount of data generated has catapulted to around 2.5 quintillion bytes each day (1). With so much data at hand, making sense of it all poses a real challenge to organizations. Yet being able to use that data is essential to deriving real business insights and making more informed decisions as a result.
By utilizing a JS graph library within your application, you’re able to create rich and customized graph data visualizations for your audience, and enable them to visually navigate data and zero in on the information that’s most relevant. Analyzing your data becomes much less of a daunting task. You’ll be able to unlock new insights that may have previously gone unnoticed.
It’s no secret that building an application from scratch is a time-consuming process. Depending on the resources available and the expertise of developers, it can take anywhere from a few hundred to several thousand development hours. Testing and iterating on different ideas can also add to the time and effort needed to build an app that meets your expectations.
With a JS graph library, you can cut down on development time and ease the workload required to develop and integrate network visualization capabilities into your application. JS libraries allow you to test new ideas and expand on existing ones by simply adapting the existing code to your needs.
The ability to make data exploration accessible to your end user is essential in adding value and improving the overall experience of your application. With a JS graph library, you’re able to implement out-of-the-box functions and features that allow your users to more easily interact with their data at scale. Moreover, it’s possible to enrich your visualizations with components that help end users communicate their findings.
If you’re starting to dive deeper into your decision making process, we’ve also put together a list of some of the most popular JS graph libraries to visualize your graph data. It’s a good place to start for a high-level comparison of graph libraries. We also wrote a starter guide for developers on JS graph libraries for network visualization.
You can also check out Ogma, the all in one JS graph visualization library from Linkurious for large-scale, interactive graph visualization.