{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/3"}],"enrichment":{"capability":"Connects Python notebooks to Power BI datasets and Microsoft Fabric workspaces, enabling data augmentation with Power BI measures and semantic propagation for data analysis.","skillfed_tags":["fabric-integration","power-bi"],"use_cases":["Query Power BI datasets directly from a Fabric notebook and augment them with computed measures without leaving Python.","Preserve and propagate semantic metadata (column meanings, relationships, business rules) across data science workflows to reduce errors and speed analysis.","Manage Fabric and Power BI tenant resources (workspaces, capacities, domains, users) programmatically from a notebook using the admin API.","Enrich datasets with domain-specific functions (holidays, geospatial operations, phone validation) while maintaining semantic context.","Integrate established data science tools and notebooks with Power BI and Fabric without manual data export or ETL steps."],"what_it_does":"Semantic link is a Microsoft-authored package that bridges Python data science workflows with Power BI and Microsoft Fabric. It enables notebooks running in Fabric to query Power BI datasets, augment data with Power BI measures, and propagate semantic metadata (domain knowledge about data structure and meaning) back into analysis pipelines. The package is split into modular sub-packages\u2014a core semantic-link-sempy plus optional function libraries for geospatial, holiday, weather, phone number, and validation operations\u2014so you can install only what you need.\n\nThe package is tightly coupled to Microsoft Fabric infrastructure and cannot run outside Fabric notebooks or Spark jobs. It requires Python 3.10 or later and is actively maintained, with recent releases adding comprehensive admin APIs for managing workspaces, capacities, domains, and tenant settings. The license is proprietary and terms must be accepted at install time.","worth_installing":"Yes, if you work within Microsoft Fabric and need to connect Python notebooks to Power BI datasets or manage Fabric resources programmatically. The low install friction, active maintenance, and zero known vulnerabilities support adoption. However, the proprietary license and hard requirement to run only in Fabric (not locally) mean this is a specialized tool for Fabric users only\u2014not a general-purpose library. Verify the proprietary license terms before production use."},"id":"semantic-link","links":{"html":"https://skillfed.io/packages/semantic-link","md":"https://skillfed.io/packages/semantic-link.md","pypi":"https://pypi.org/project/semantic-link/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-21","license_spdx":null,"license_treatment":"unclear","name":"semantic-link","python_support":"supports_current","summary":"Semantic link for Microsoft Fabric"},"popularity":{"monthly_downloads":482029,"position":6425,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.14.2"}