The picture is from kalzium, which is an open source program. The ability to integrate many different programs through libraries and scripts allows unique applications of data that closed source development will never have. If I had to request a feature and then depend on some software company to implement such a thing and charge me for it, nothing would get done. In this case I am integrating the python image library, Stellarium, FFT analysis, voice, blender, beautiful soup, SciPy, matplotlib, ImageMagick, ffmpeg, my own C utilities with python bindings, AI, genetics utilities, and many other tools that can interact through the common framework of the python interface.
This snapshot is from Stellarium, and so it is possible to take the data from just "kalzium" and integrate it with blender and Stellarium as well as my other methods and have a complex environment that could be a constructive AI interface. The last piece is to integrate and differentiate in such a way that the interaction of methods is tree solved to a goal, as opposed to constructing the association in parts. If my goal is to make a movie of the integration of pdb and molecular models with data in blender, it can produce a "script" like a script for a movie or process that is a flow chart, which I can consider and adjust, as opposed to step wise interface. I see no reason that it cannot be a constructed flow chart within blender, which is a sequence that uses features of blender to display the choices and degrees of freedom.
The end product is a complete system that produces the concert of methods applied in the appropriate order which answers the question unspoken. I can twist about to isolate the gravitational effects, shifts in space and time or dig deep down to the very heart of the atom to see what really makes it all shine.
I think the answer to whether we are alone in the universe is forthcoming. I see all the parts, but integration is much more difficult than differentiation.