{"categories":[{"label":"Front-Ends","url":"https://skillfed.io/packages/category/database-front-ends"}],"enrichment":{"capability":"Extends Microsoft Fabric's Semantic Link with utilities for managing Power BI semantic models, reports, and capacities programmatically within Jupyter notebooks.","skillfed_tags":["power-bi","microsoft-fabric","automation"],"use_cases":["Migrate Power BI semantic models from import or DirectQuery to Direct Lake mode.","Run best practice analysis on semantic models and reports to identify issues.","Back up, restore, and deploy semantic models across Fabric workspaces.","Analyze DAX query dependencies and column usage in semantic models.","Manage Fabric capacity provisioning and migration between SKU types.","Auto-generate measure descriptions and manage incremental refresh policies."],"what_it_does":"Semantic Link Labs is a Python library built on top of Microsoft Fabric's Semantic Link, designed to run in Jupyter notebooks within the Fabric environment. It provides utilities for programmatically managing Power BI semantic models\u2014including migration to Direct Lake, backup and restore, refresh operations, and DAX query analysis\u2014as well as report metadata inspection and capacity management. The library aims to automate repetitive tasks and reduce manual intervention in Fabric workflows.\n\nThe package depends on semantic-link-sempy as its primary runtime dependency, along with anytree, polib, jsonpath_ng, anywidget, and sqlglot. It is classified as Alpha and supports Python 3.10 and later. The library is actively maintained by Microsoft with recent releases and a public GitHub repository accepting bug reports and feature requests.","worth_installing":"Yes, if you work within Microsoft Fabric notebooks and need to automate semantic model or report management. The library is actively maintained, has no known vulnerabilities, uses a permissive MIT License, and installs with low friction. However, its utility is narrowly scoped to the Fabric environment; it is not a general-purpose Power BI tool and requires Python 3.10 or later."},"id":"semantic-link-labs","links":{"html":"https://skillfed.io/packages/semantic-link-labs","md":"https://skillfed.io/packages/semantic-link-labs.md","pypi":"https://pypi.org/project/semantic-link-labs/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-28","license_spdx":null,"license_treatment":"permissive","name":"semantic-link-labs","python_support":"supports_current","summary":"Semantic Link Labs for Microsoft Fabric"},"popularity":{"monthly_downloads":2146383,"position":3255,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.17.0"}