There are other solutions which do not require any development. These solutions are either, Saas, or on-premise software and web applications. As we mentioned earlier, the first off-the-shelf solutions spawn from the work of network theory researchers. After Pajek, other solutions were released, such as NetMiner in 2001, a commercial software for exploratory analysis and visualization of large networks data. In the same line, the Gephi software, created in 2008, brought a powerful open source tool to many researchers in the field of Social Network Analysis. Co-founded by Linkurious’ CEO, Sébastien Heymann, Gephi played a key role in democratizing graph visualization methods.
Other research projects emerged, as web technologies simplified their creation. For instance, Palladio, a graph visualization web application for history researchers was created in 2013. More recently in 2016, the research project OSoMe (the Observatory on Social Media) released an online graph visualization application to study the spread of information and misinformation on social media.
However, graph visualization is no longer the preserve of the academic and research worlds. Others understood the potential of graph visualization and how such tools could help organizations and businesses in other fields: network management, financial crime investigation, cybersecurity, healthcare development, and more. Companies started to provide enterprise-ready graph visualization solution, as did Linkurious back in 2013.