Tulip

Tulip is a robust and complex application that provides you with a functional environment and all the necessary tools for data visualization and relation data analyzing.

The utility is powered by a C++ framework that is capable of rendering graphs over one million elements. Apart from making sure that Python 2.7 or later is present in your computer's system, the installation process hardly requires any effort on your part.

It sports a fairly intuitive UI (for such an all-encompassing tool for large graph visualization) with a menu/toolbar on the extreme left, an algorithm panel and a graphs panel right next to it and the actual workspace, which can take up to more than half of the main window.

Once you learn how to use the tool, you can extract subgraphs, filter results, navigate through geometric operations, and develop algorithms, visual encodings, interaction techniques, data models and domain-related visualizations.

It's a very good thing that Tulip comes with one of the most comprehensive Help sections. For instance, please feel free to visit the user handbook on the app's official website to gain a better understanding of the app's functionality. You might also be interested in checking out a few basic tutorials.