That's great to hear. Personally, I prefer to style the plots with the GUI... it's so much easier and faster than re-running some styling script. Of course, so

That's great to hear. Personally, I prefer to style the plots with the GUI... it's so much easier and faster than re-running some styling script. Of course, some stylings are too cumbersome to do by hand. For example, I adjusted the opacity of every trace with code to make this plot: https://plot.ly/~cparmer2/302/ https://plot.ly/~cparmer2/302/, which was easier than manually selecting every trace in the GUI. A couple workflow examples: - last semester, I used plotly to share results with my advisor. It was much easier to send short-links of my simulation graphs than to export images and send them as an attachment. My advisor could update the styling and view the underlying data behind the graph and he only needed to open up his browser. - Some R&D labs are interested in using plotly to centralize their data streams. They send data to plotly from their lab instruments (through the api) and share the graphs within plotly to all their team members (through a group feature in plotly) Plotly graphs can be exported to SVG, EPS, PDF, and PNG, so it's pretty easy to include your graphs in a PDF. Do you use MATLAB in a team environment?