Dear Haskell Community, During the last months I used Haskell for machine learning, particularly in the field of Echo State Neural Networks. The main drawback I encountered is that its difficult to visualize and plot data in Haskell in spite the fact there are a couple of plotting libraries. Data visualization is very important in the field of machine learning research (not so much in machine learning implementation) since humans are very efficient to analyze graphical input to figure out what is going on in order to determine possible adjustments. I was wondering if other members of the community have experienced this drawback and would be interested in improved data visualization for Haskell, especially if there is interest to use Haskell for machine learning research. I collected my ideas in the following page: https://github.com/netogallo/Visualizer . Please provide me with feedback because if the proposal is interesting for the community I would start working with it, even if it doesn't make it to this GSoC, but a project like this will need a lot of collaboration for it to be successful. Thank you very much, Best Regards, Ernesto -- Ernesto Rodriguez Bachelor of Computer Science - Class of 2013 Jacobs University Bremen