Small projects, evaluations, POC, presentations, ... related to the Jupyter Ecosystem (and 'embeddable' technologies, e.g. bokeh) for controls. The main goal is to turn jupyter into a Tango feature-rich client plateform.
This notebook belongs to a series of small projects which aim is to evaluate the Jupyter ecosystem for science experiments control. The main idea is to use the Juypter notebook as a convergence platform in order to offer a fully featured environment to scientists.
Tango is a free open source device-oriented controls toolkit for controlling any kind of hardware or software and building SCADA (supervisory control and data acquisition) systems. Tango Controls is operating system independent and supports C++, Java and Python for all the components.
Experiments control requires both static and dynamic (i.e live) data visualization. Since Jupyter doesn't provide any 'official' data visualization solution, we need to select one. Among the available solutions, bokeh presents the highest potential for our application.
the offcial jupyTango repo is now: https://gitlab.com/tango-controls/jupyTango
Enjoy!