{"library":"pyspark-test","type":"library","category":null,"description":"pyspark-test is a Python library designed to simplify unit testing for PySpark DataFrames. It provides a function, `assert_pyspark_df_equal`, inspired by the pandas testing module, which allows users to compare two Spark DataFrames and identify any differences. The library is currently at version 0.2.0 and has a stable, albeit infrequent, release cadence, focusing on its core DataFrame comparison functionality.","language":"python","status":"active","version":"0.2.0","tags":["pyspark","testing","dataframe","unit-test","spark"],"install":[{"cmd":"pip install pyspark-test","imports":["from pyspark_test import assert_pyspark_df_equal"]}],"homepage":null,"github":"https://github.com/debugger24/pyspark-test","docs":null,"changelog":null,"pypi":"https://pypi.org/project/pyspark-test/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":30.9,"avg_import_s":0.47,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/pyspark-test/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}