Semantic Link Labs is a Python library designed for use in Microsoft Fabric notebooks. It extends the capabilities of Semantic Link, offering additional functionalities to seamlessly integrate and work with semantic models, workspaces, lakehouses, reports, and capacities within Microsoft Fabric. The library is currently at version 0.14.2 and is actively developed.
%pip install semantic-link-labsNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
The quickstart demonstrates importing the library and provides a placeholder for a common administrative task within Microsoft Fabric, such as listing workspaces. Running this code successfully typically requires execution within a Microsoft Fabric notebook with the necessary permissions and environment setup. The library handles authentication implicitly within the Fabric environment.
Report issues and request features via the GitHub repository. For critical production systems, evaluate the risk of using community-supported tools.
Include `%pip install semantic-link-labs` at the beginning of your Fabric notebooks or configure a custom Fabric environment to include the library.
Ensure all necessary Fabric prerequisites are configured as per the official documentation to avoid runtime errors when using certain features.
Refer to the official documentation and GitHub README for clarity on the distinct roles and dependencies of each component, focusing on `sempy_labs` for extended features.