Semantic link vs. Semantic link labs vs. Sempy vs. Sempy labs

Hi frithjof_v,

In fact, sempy is a package that include semantic link features, it also provides data operations while preserving the semantic information from models.
For the labs versions, normally they will provide more features than original versions.
So if you only want to connect semantic models with data science tools in Microsoft Fabric, you can choose semantic link. If you also need to apply some data operations with this model, you can choose sempy.
What is semantic link? - Microsoft Fabric | Microsoft Learn
If you not only want to work with semantic model, but also need to manage with some tabular object models, you can consider to use semantic link labs.

GitHub - microsoft/semantic-link-labs: Early access to new features for Microsoft Fabric's Semantic Link.
If you also want to experience some experimental features of sempy, you can consider to using labs version.

Regards,
Xiaoxin Sheng