{"library":"sparkdantic","type":"library","category":null,"description":"Sparkdantic is a Python library that bridges Pydantic models with PySpark schemas. It allows developers to define data structures using Pydantic, then automatically generate equivalent `pyspark.sql.types.StructType` schemas for use in Spark DataFrames. This simplifies data validation and schema management across Python applications and Spark environments. The current version is 2.8.0, and it maintains an active release cadence, frequently updating for Pydantic and PySpark compatibility.","language":"python","status":"active","version":"2.8.0","tags":["pyspark","pydantic","schema generation","data validation","etl"],"install":[{"cmd":"pip install sparkdantic pyspark","imports":["from sparkdantic import create_spark_schema","from pydantic import BaseModel"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/sparkdantic/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":33.1,"avg_import_s":0.88,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/sparkdantic/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}