id	summary	reporter	owner	description	type	status	priority	milestone	component	version	resolution	keywords	cc	blockedby	blocking	notify_on_close	platform	project
3697	Replace non-standard Windows numpy and scipy packages with PyPi ones	Tom Goddard	Tom Goddard	"For unclear reasons we are using custom compiled numpy and scipy wheels on Windows that use Intel Math Kernel Library.  I think Conrad did this and said those packages were faster.  They complicate our ChimeraX build and package updating and the numpy mkl wheel is very large, 200 Mbytes vs 13 Mbytes for the PyPi numpy wheel.  The PyPi numpy includes OpenBLAS while the MKL numpy includes MKL libraries that are a few hundred Mbytes.   I could find no quantitative evidence that numpy MKL was much faster than OpenBLAS for common numpy uses and some sites claimed OpenBLAS was faster on AMD processors.  

I think we should use PyPi numpy and scipy on packages on Windows as we currently do for Mac and Linux.
"	task	closed	moderate	1.2	Third Party		fixed		chimera-programmers Tristan Croll				all	ChimeraX