{"library":"semantic-link","type":"library","category":null,"description":"Semantic Link, also known by its core Python library SemPy, facilitates seamless collaboration between data scientists and business analysts within Microsoft Fabric. It enables Python and Spark users in Synapse Data Science notebooks to connect directly to Power BI semantic models, access their underlying data, measures, and rich semantic information, eliminating the need to re-implement business logic. The library is actively developed, with version 0.14.0 as of the latest release, and is specifically designed for the Microsoft Fabric environment.","language":"python","status":"active","version":"0.14.0","tags":["microsoft fabric","power bi","data science","business intelligence","data integration","pandas","pyspark","semantic model","etl"],"install":[{"cmd":"%pip install -U semantic-link","imports":["import sempy.fabric as fabric","import sempy.functions as sf"]},{"cmd":"pip install semantic-link","imports":[]}],"homepage":"https://learn.microsoft.com/en-us/fabric/data-science/semantic-link-overview","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/semantic-link/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":65.3,"avg_import_s":6.29,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/semantic-link/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}