Hi, I'm the coordinator for the PythonCard project, which is at: http://pythoncard.sourceforge.net/ PythonCard provides a GUI framework for building Python applications. The project is relatively new, but there are a large number of sample applications, including a number of drawing and visualization samples. PythonCard already supports loading and drawing of common formats like XBM, GIF, JPEG, PNG, etc. from disk files. Last month I started a BitmapCanvas for the framework to simplify interactive drawing. Rather than duplicate all of the functionality of the Python Imaging Library (PIL) or the various plotting packages already available, I want to make it easy to display results created with other drawing packages and numPy in PythonCard. To that end, the Bitmap and BitmapCanvas class already support PIL. You can convert a PIL RGB image to/from a PythonCard bitmap and you can draw a PIL RGB image in a BitmapCanvas at a given x, y location. If you're already converting from numPy to PIL, you should be able to show your results in PythonCard today. I will be making a related post about this on the image-sig. Anyway, what I would like to do is provide similar methods to make it easy to convert numPy arrays to images or a bitmap to numPy without having to go to PIL first. I don't currently use numPy since I don't do any scientific computing (and my math skills are pretty pathetic) and most of my programs are text or database-oriented, so I'm relying on others to spec out the features they need or want. Eventually, I would like to add some visual effects to PythonCard such as wipes and fades which would be a perfect use of arrays. I want to make sure that PythonCard provides a good GUI framework for the scientific community. I would appreciate any suggestions, pointers to related resources, etc. PythonCard currently sits on top of wxPython, so if you are already working with numPy and wxPython I would be very interested to hear about it. If you would like to get more actively involved, please join the PythonCard mailing list, which is probably a better place for longer-term discussions than the numPy list. http://lists.sourceforge.net/lists/listinfo/pythoncard-users Thanks, ka --- Kevin Altis altis@semi-retired.com