Tools With Interactive UIs In Fabric Notebooks With Semantic Link Labs

There’s so much going on in the Fabric community that it can be hard to keep up with it all. Semantic Link Labs is a great example: in the six months or so since I last had a proper look at it my colleague Michael Kovalsky has done a whole load of cool things and it wasn’t until I had a chat with him recently that I realised how much had changed. Most importantly, for someone old-fashioned like me who still likes tools with a UI, a lot of new functionality has been added which has a UI and is usable with minimal coding.

To illustrate this, I created a new Fabric notebook in a workspace and installed Semantic Link Labs:

%pip install semantic-link-labs

I then headed over to the Semantic Link Labs Code Examples and copied some of the code from there into cells in my notebook. For example, the following code:

import sempy_labs.semantic_model
sempy_labs.semantic_model.lineage_view()

…opened up a tool for exploring report and semantic model lineage appearing within the notebook. I could connect to a semantic model:

…and then see which reports are connected to it and even look for broken visuals in those reports:

There’s also a version of Vertipaq Analyzer:

import sempy_labs as labs
dataset = 'insert id or name of semantic model here'
workspace = 'insert id or name of workspace here'
x = labs.vertipaq_analyzer(dataset=dataset, workspace=workspace)

…and a whole load of other things which probably deserve their own blog post. So if, like me, you had assumed that Semantic Link Labs was for people who like writing code rather than using a UI, take another look – you’ll probably find something useful.