{"library":"typedspark","type":"library","category":null,"description":"Typedspark provides column-wise type annotations for PySpark DataFrames, enhancing code readability, enabling static type-checking and linting, and improving auto-completion and refactoring capabilities. It helps define explicit schemas for Spark DataFrames, ensuring data integrity at a structural level. The library is currently at version 1.6.3 and maintains a regular release cadence, often driven by dependency updates.","language":"python","status":"active","version":"1.6.3","tags":["pyspark","spark","typing","type-checking","data-quality","etl","schema-validation"],"install":[{"cmd":"pip install typedspark","imports":["from typedspark import Column"]},{"cmd":"pip install \"typedspark[pyspark]\"","imports":[]}],"homepage":null,"github":"https://github.com/kaiko-ai/typedspark","docs":null,"changelog":null,"pypi":"https://pypi.org/project/typedspark/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":16.2,"avg_import_s":0.51,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/typedspark/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}