FeatFinder

Custom made special-purpose data analysis.

  • 100% pure Python
  • full-fledged GUI powered by Qt5 / PyQt
  • designed with explorative data analysis in mind
  • interactive graphs lead through analysis steps

H5Ohm

HDF5 for .NET.

  • mapping objects to a data hierarchy
  • store away vast amounts of data in a hierarchical format
  • using C# language features to your advantage
  • unit tested to the bone

Aspect

Analyse spectra.

  • written in C++ from ground up
  • classes and tools for handling mass-spectra
  • implements a peak-fitting algorithm by the state-of-the-art

Showcase

This examplifies the different UI elements that integrate nicely into a modern desktop application. Using Python bindings to Qt5, large datasets can be plotted quickly and responsively, while keeping a grip onto the power of pandas and numpy. The possibility to interact with the visualized data makes the analysis steps intuitive. For example, the GUI responds immediately to selecting a specific region of interest or changing the selected list item. Fast visualization is the basis for explorative data analysis that gains new insights.