Isn't this more robust though? I feel like using lines to detect next rows is very flimsy. I usually deal with CSV containing full press articles, I am quite sure the CSV.Chunks method would fail without the correct hyperparameter. This method seems more, I dunno, "adaptative".
What is unclear here is why you are selling what is and should remain free and open source software without even crediting the authors of what appears to be 90% of your toolkit product.
TL;DR the README (https://github.com/Linkurious/linkurious.js), huh? The authors of the core/Sigma are cited in the documentation and license. Plus it is released under GNU GPLv3, so I don't understand why you complain. If you don't need the extra features, you are free to go with the core only.
After creating Gephi 8 years ago I'm still a big fan of open source as a production model, but definitely not as an economic model. Companies need support and high-end features to speed up their projects and to limit risks; this is what our tookit is about, adding more than 30 plugins.
Notice that we are happy to give back to the core when the original authors agree. Say thanks to us every time you click on an edge! :)
Used statistics are a bit different though.