DPDAK - Directly Programmable Data Analysis Kit

DPDAK is an open source (GPL) tool developed for (online) analysis of large sequences of small angle scattering data - but can be used for other data as well. It is written in Python and runs on Windows and Linux. The development is a cooperation between DESY and MPIKG.

The plugins ImageIntegration1d, ImageIntegrationSubBG and SAXS/WAXS calibration use algorithms from the pyFAI package by Jerome Kieffer (ESRF). The plugin ImageIntegrationSubBG (Fit2D) uses Fit2D software developed by Dr. Andy Hammersley (ESRF).

The latest release is 1.3.1:

• Because of memory error in  python pyFAI module (since version 0.11.0) for 32-bit machine, we recommend to install the DPDAK v1.3.1 in 64-bit machine.
  • find it in the downloads section.
• Linux source code from DESY's Git repository
  • as zip-file dpdak_v1_3_0.zip

For changes with respect to the previous version v1.3.0, please read the Release Notes v1.3.1.

You can find older releases at the Download page or in the Git repository.

• 20.7.2017: DPDAK meeting Hamburg, Preparation of new release is ongoing
• 13.9.2016: DPDAK meeting in Golm
• 4.5.2015: Version 1.2.0 of DPDAK is released and can be fetched from the Download page.

If you use DPDAK in your publication, please cite it. The reference is:

A customizable software for fast reduction and analysis of large X-ray scattering data sets: applications of the new DPDAK package to small angle X-ray scattering and grazing-incidence small angle X-ray scattering, Benecke, G. et al., J. Appl. Cryst. 47, 1797-1803, (2014), doi:10.1107/S1600576714019773.

• Contact: There is a mailing list for DPDAK: dpdak@desy.de. You are invited to subscribe to be informed about new versions, to ask questions and to provide feedback.
• Code development for DPDAK is done using Git. You are welcome to browse the repository.