I've been working on a #space #visualization tool for our operators. It basically needs to always know, and be ready to plot, where every single one of 60k+ objects is down to millidegree/meter/second resolution just in case the sensor suddenly slews there
My own constraint is that it has to be 1) a single 2) #python executable because otherwise I'm not interested
Earlier this year, I found a great 30x faster technique for determining which #satellites are above the horizon. (In fact, it's far more general than that, but that's all the help it gives me to this problem.)
I also realized I could spawn a #multiprocessing child to do lookahead on data and then pass a huge #numpy array to my graphing process. (Investigated ~9 different ways, chose the best)
But there I was stuck.
At any given moment, there are ~4500 space objects above the horizon (at our latitude). Putting 4500 points with little persistence trails and labels and then updating all that at 1Hz let alone the 10Hz I'd like was taking too long, even using the amazing #pyqtgraph
So there I was stuck. Until this week.
