{"library":"semantic-link-functions-meteostat","type":"library","category":null,"description":"This library provides semantic link functions specifically designed for integrating Meteostat historical weather data with FabricDataFrames within Microsoft Fabric. It enables the enrichment of tabular data with weather-related insights, exposing these functions dynamically on FabricDataFrames. The library is currently at version 0.14.0 and is part of the broader Semantic Link ecosystem, which typically sees frequent updates aligning with Microsoft Fabric's release cadence.","language":"python","status":"active","version":"0.14.0","tags":["microsoft-fabric","semantic-link","meteostat","weather-data","data-enrichment","dataframe","power-bi"],"install":[{"cmd":"%pip install semantic-link-functions-meteostat","imports":["from sempy.fabric import FabricDataFrame"]},{"cmd":"%pip install semantic-link","imports":[]}],"homepage":null,"github":"https://github.com/microsoft/semantic-link-functions","docs":null,"changelog":null,"pypi":"https://pypi.org/project/semantic-link-functions-meteostat/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null,"provenance":{"verified_status":null,"verified_at":null,"last_verified":"Sat Jun 13","next_check":"Tue Jul 14","install_tag":null}}