SiPy – Bringing Python and R to the End User in a Plugin Extensible System

Citation: Tan, NTF, Mugundhan, M, Liu, T, Tan, RYH, Tang, AY, Sim, BJH, Tan, JZH, Ling, MHT. 2025. SiPy – Bringing Python and R to the End-User in a Plugin-Extensible System. Medicon Medical Sciences 8(6): 32-41.

Link to [PDF].

Here is the permanent [PDF] link to my archive.

Data / statistical literacy is required for informed participation and better decision making in a literate society, and learning a data analysis tool may enhance the learning of statistical concepts. R and Python are well-known platforms for data analysis but are also difficult to learn even though they may be synergistic. Here, we present SiPy (Statistics in Python) as a data analysis tool built using Python and integrates analysis from R, and extensible using plug-ins. We will describe the architecture of the current version of SiPy, SiPy 0.6.0 codenamed “Otoro-Chutoro Continuum”, with a listing of the 60 available analytical functions across 8 function classes. This is followed by an elaboration of SiPy plugin system where end-users can add functions as plugins, before ending with a description of SiPy’s scripting system catering to modular scripting.