Nx5d - Automating Data Analysis

What & Why

Nx5d is a Python framework for rapid data processing and analysis. It makes a high degree of automation possible by separating data analysis in an engineering and a scientific part, and offering fine-grained management of analysis parameters.

Nx5d enables you to:

  • access the output of a scientific facility in a physically meaningful coordinate system automatically, immediately, and transparently

  • design the scientific part of your data analysis in a device-agnostic way, basing it on the physical data representation instead of the device-dependent one

  • focus on your attention on a scientist's task, namely that of correlating knowledge, instead of writing boilerplate data transformation code.

The result is a drastically improved data analysis time, and the ability to share and compare experimental data and analysis algorithms of different scientists, from varying facilities, on similar topics - in any combination.

Getting Started

You can install Nx5d from PyPI or directly from source, or you can run a pre-packaged Jupyter container image that has Nx5d preinstalled.

Nx5d is a framework, which means there's no application to "run", just compontents to help you define your own data processing. See a simple example to start off, or jump right in with the User's Guide. If you're interested in a deep dive, try reading up on the concepts of Nx5d.

How to Participate

We very much welcome 3rd-party contributions. The main repository around which nx5d development happens is over at GitLab.