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.

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

Project details


Download files

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

Source Distribution

DataPipeline-1.2.tar.gz (719.6 kB view details)

Uploaded Source

File details

Details for the file DataPipeline-1.2.tar.gz.

File metadata

  • Download URL: DataPipeline-1.2.tar.gz
  • Upload date:
  • Size: 719.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for DataPipeline-1.2.tar.gz
Algorithm Hash digest
SHA256 61e4578c59b59d1aa451af158c028511b575f9306a9dab6428fd80f0dd92df61
MD5 c7431838184e159bed57ba7bc0130c0f
BLAKE2b-256 db8fba95dddd093d04d669bec881a8a363186f0c19e0958961b877bf0157333a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page