SciTrack

Library aimed at application developers writing scientific software to support this tracking of scientific computation. The library provides elementary functionality to support logging. The primary capabilities concern generating checksums on input and output files and facilitating logging of the computational environment. If the optional dependency mpiutils is installed, then logging can be done safely in a parallel computation environment.

Topics

Details

Tool Type:
library
Operating Systems:
Linux, Mac
Programming Languages:
Python
Added:
10/19/2016
Last Updated:
12/10/2018

Operations

Documentation