Skip to main content

Importing and fitting tool for scientific text data.

Project description

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.


Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
DataPipeline-1.2.tar.gz (719.6 kB) Copy SHA256 hash SHA256 Source None Oct 23, 2012

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page