I think NumPy and SciPy should consider to use OpenBLAS (a fork of GotoBLAS2) instead of ATLAS or f2c'd Netlib BLAS for the binary releases. Here are its virtues: * Very easy to build: Just a makefile, no configuration script or special build tools. * Building ATLAS can be a PITA. So why bother? * Faster than ATLAS, sometimes faster than MKL. * Multithreaded BLAS kernels: OpenMP on Unix, Windows threads on Windows. * The quality of its ancestor GotoBLAS is undisputed. I was the BLAS implementation of choice for major HPC projects around the World. * Free as in BSD licensed. * Funded and developed for use in major Chinese HPC projects. Actively maintained. (GotoBLAS2 is abandonware.) * Open source. The C sources are a pleasure to read, and very easy to verify. * No OpenMP on Windows means no dependency on pthreads-win32 (an LGPL library) when building with MinGW. * Builds on Windows with MinGW and MSYS, and perhaps even without MSYS. * Cygwin is not needed on Windows (this is just BS from the GotoBLAS documentation). Thus, 64-buit builds are possible (I've built it using TDM-GCC for Win64 and 32-bit MSYS). Sturla