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Discover 2 tools tagged with Profiling for Python data engineering.
Data profiling tools automatically analyse datasets to generate statistics on column distributions, missing values, data types, correlations, and outliers. In Python data engineering, profiling is a critical first step before cleaning and transformation, commonly performed with ydata-profiling, Great Expectations, and Pandas describe() to understand data quality.
Sensitive Data Detection & Profiling
A Python library by Capital One designed to make data analysis, monitoring, and sensitive data detection easy. Data Profiler automatically identifies data types, statistical patterns, and PII across structured and unstructured datasets.
Advanced Data Pattern Discovery
An open-source data profiler focused on discovery and validation of complex patterns in data. Desbordante finds functional dependencies, association rules, and other data constraints that go beyond basic statistical profiling.