Matr1x

Python package for data acquisition and instrument control

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Contributing guide

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Requires: Python >=3.10
Provides-Extra: elab, ppms
Package Info

Python tools for data recording, instrument control and visualization.

Further information

Please use the full user-guide for detailed information including installation instructions, usage examples, and troubleshooting tips.

Why Matr1x?

There are several good Python software packages that provide a framework for measurements and general instrument control. However, Matr1x aims to provide a more integrated user experience via a collection of tools that work together seamlessly. Matr1x can orchestrate device drivers, based on PyMeasure, PyVisa, or any other Python package, and provides several applications with a graphical user interface.

How it works

A person with some experience in Python programming creates a small, so-called system file that connects to the instrument drivers (e.g. a multimeter) and defines the desired parameters (e.g. current and voltage). Then, even users with no Python experience can use Matr1x to perform measurements, while more advanced users benefit from a code editor based on Monaco (which powers VS code) that allows them to write custom measurement scripts. Another tool for data visualization is provided as well.

Impressions of the software

Sweep Generator

Screenshot of the sweep-generator GUI Application to generate sweeps to perform measurements.

Matrix GUI

Screenshot of Matrix GUI Read previously generated sweep data and perform (a series of) measurements.

Matrix Script

Screenshot of Matrix Script Run measurements or control other instruments in an integrated environment.

Matrix Preview

Screenshot of Matrix Preview Quickly preview the results of the measurements or collected log data.

Control GUIs

Screenshot of a control GUI If even more control is required, custom panels called “control-GUI” can be added via an additional file. Then, manual control and general observation of the desired devices can be performed.

Requirements

A Windows, Linux or Mac OS X computer with a Python installation (3.10 - 3.14) is successfully tested to run the software.