Back in 2012 when I was teaching a graduate course of Statistical Methods in the Department of Mathematics & Statistics of South Dakota State University (USA), I found the world of statistical tools / applications to be a problem. I remembered having a conversation with Runan during lunch one day that if I plotted the statistical tools that I knew on the heuristic axes of cost and difficulty, I would get something like this:

What students and researchers really need is something cheap (free will be the best) and easy to use but this is not available. This is expected as such a tool does not make business sense if it is to be a product. However, it makes educational sense. Hence, the only way that I can see forward is that such a tool comes from educators. This also means that such a tool cannot be "from scratch" but has to build largely on existing tools.

My first attempt was TAPPS but it did not turn out well as I tried too hard "from scratch".

Hence, this is my second and probably final attempt - Statistics in Python (SiPy): Python-Based Statistical Graphical User Interface for R/Python; built on the lessons learnt from TAPPS. In SiPy, I attempt to build a click-and-use graphical user interface that is characteristic of "easy to use" tools; such as, Excel and Minitab; for the statistical tools already available within R, and Python / Pandas / SciPy. This was the conclusion of the very conversation with Runan a decade ago.

Hopefully, I get it right this time.