{"library":"quinn","title":"Quinn PySpark Utilities","description":"Quinn is a Python library providing helper methods for PySpark to enhance developer productivity. It offers DataFrame validation functions, useful column functions/DataFrame transformations, and performant helper functions. The library is currently at version 0.10.3 and maintains an active release cadence.","language":"python","status":"active","last_verified":"Sat May 16","install":{"commands":["pip install quinn"],"cli":null},"imports":["import quinn","from quinn.extensions import *","from pyspark.sql import functions as F"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"from pyspark.sql import SparkSession\nfrom pyspark.sql.types import StructType, StructField, StringType, IntegerType\nimport quinn\nfrom quinn.extensions import *\n\n# Initialize SparkSession\nspark = SparkSession.builder \\\n    .appName(\"QuinnQuickstart\") \\\n    .master(\"local[*]\") \\\n    .getOrCreate()\n\n# NOTE: `spark.create_df` and Column methods like `isTruthy()` are automatically\n# available after `from quinn.extensions import *`\n\n# Create a DataFrame using quinn's extended create_df method\ndata = [\n    (\"Alice\", 1, \"USA\"),\n    (\"Bob\", 2, \"Canada\"),\n    (\"Charlie\", 3, \"Mexico\")\n]\nschema_def = [\n    (\"firstName\", \"string\", True),\n    (\"id\", \"integer\", True),\n    (\"country\", \"string\", True)\n]\ndf = spark.create_df(data, schema_def)\nprint(\"Original DataFrame Schema:\")\ndf.printSchema()\nprint(\"Original DataFrame Data:\")\ndf.show()\n\n# Apply a quinn DataFrame transformation: snake_case_columns\nsnake_cased_df = quinn.snake_case_columns(df)\nprint(\"\\nDataFrame with snake_cased columns:\")\nsnake_cased_df.printSchema()\nsnake_cased_df.show()\n\n# Demonstrate a Column extension (e.g., isTruthy from quinn.extensions)\nfrom pyspark.sql import functions as F\nextended_df = df.withColumn(\"is_id_truthy\", F.col(\"id\").isTruthy())\nprint(\"\\nDataFrame with 'is_id_truthy' column (using quinn extension):\")\nextended_df.show()\n\n# Stop SparkSession\nspark.stop()","lang":"python","description":"This quickstart demonstrates how to initialize a SparkSession, create a DataFrame using `quinn`'s extended `create_df` method, apply a common DataFrame transformation like `snake_case_columns`, and utilize a Column extension such as `isTruthy`.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":{"tag":null,"tag_description":null,"last_tested":"2026-05-16","installed_version":"0.10.3","pypi_latest":"0.10.3","is_stale":false,"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.5,"avg_import_s":null,"wheel_type":"wheel"},"results":[{"runtime":"python:3.10-alpine","python_version":"3.10","os_libc":"alpine (musl)","variant":"quinn","exit_code":0,"wheel_type":"wheel","failure_reason":null,"import_side_effects":"broken","install_time_s":null,"import_time_s":null,"mem_mb":null,"disk_size":"18.0M"},{"runtime":"python:3.10-slim","python_version":"3.10","os_libc":"slim 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