DataPipeline 1.2

Importing and fitting tool for scientific text data.

DataPipeline is a python desktop and command line application that uses the fitting and plotting libraries from PEAT to automate the import of raw data in a variety of formats. It is also used for transforming the imported data through various stages of fitting to achieve a final measured parameter. This is useful for handling large amounts of data (e.g from csv files) in a consistent way without having to store everything in spreadsheets.

See http://code.google.com/p/peat/wiki/DataPipeline