On this page we list a number of projects that are affiliated with or makes use of QCoDeS in some way or another.
If you would like to get your project featured here please submit a pull request adding your project to this page. The page is located at docs\community\related_projects.rst within the QCoDeS repository.
QCoDeS contrib drivers is a collection of drivers for many different instruments developed by the community. If you have developed a driver that your wish to share with the community this is the ideal place for it.
Broadbean can be installed with pip from PyPi with pip install qcodes_contrib_drivers The source code is hosted on Github here and the documentation can be found here
Broadbean is a library for making pulses. Intended to be used with QCoDeS (and in particular its Tektronix AWG 5014 driver)
Broadbean can be installed with pip from PyPi with pip install broadbean The source code is hosted on Github here and the documentation can be found here
Plottr is a framework for inspecting data, based on flowcharts from pyqtgraph. plottr's main aim is to allow the user to define custom data processing flows and plotting. A particular use case is data filtering and plotting. Plottr has dedicated support for plotting QCoDeS datasets.
Plottr can be installed with pip from PyPi with pip install plottr The source code is hosted on Github here and the documentation can be found here
The Zurich Instruments drivers for QCoDeS (zhinst-qcodes) is a package of instrument drivers for devices produced by Zurich Instruments for QCoDeS. The QCoDeS instrument drivers are based on the Zurich Instruments Toolkit.
zhinst-qcodes can be installed with pip from PyPi with pip install zhinst-qcodes The source code is hosted on Github here and the documentation can be found here
A Python-based measurement environment for circuit-QED experiments by the DiCarlo group at QuTech, Delft University of Technology. This module is build on top of QCoDeS and is not intended as a stand-alone package.
GitHub page with the repository
Quantum Technology Toolbox (QTT) is a Python-based framework for the tuning and calibration of quantum dots and spin qubits. QTT is the framework on which you can base your measurement and analysis scripts. QTT is based on Qcodes and the SciPy ecosystem.