The other choices seem to be Mayavi-which uses VTK. I believe on the matplotlib site itself the authors indicate that matplotlib animations are not ready for even medium sized scale. I looked at matplotlib, but the animation features will run into trouble when I add more than a few agents. I need a way to visualize the interactions between these agents over time. I wrote the model prototype in python, but here is the problem. I was trying to figure out which package to use for visualizing this, given some technical constraints. The movement of the agents and their interactions are based upon some biased random walks and integro-differential equations. I am working on building a geospatial agent based model, meaning that there are multiple agents interacting within some particular spatial container. Kudos to for writing the documentation for DashVtk.jl.This is a visualization/programming design problem. If you are interested in any of this, feel free to reach out to me and we can chat some more.
Additionally, I am also trying to get some nice demos using DashVtk.jl to do some post-processing of finite element analysis (FEA) results on a web app using packages such as: Ferrite, Gridap, and FinEtools for the FEA. However rest assured, as you will soon be seeing more examples of using DashVtk.jl along with some native Julia mesh data representation packages, e.g. Unfortunately, the Python dash-vtk documentation still has more examples than the Julia alternative because it makes use of external dependencies and data sets. You can find more information and examples on how to do this in the documentation. I am happy to announce that using DashVtk.jl, it’s extremely easy now to interactively visualize VTK data structures on a web app in Julia. 2D/3D meshes, images, scalar-valued fields, vector-valued fields, etc. VTK is a visualization software and data representation standard for 2D and 3D data, e.g.
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