{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/2"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/3"}],"enrichment":{"capability":"Extracts and classifies properties from individual data values and matrices\u2014type, alignment, width, digit counts, and formatting metadata for integers, floats, strings, booleans, datetimes, and special values like NaN and infinity.","skillfed_tags":["data-inspection","type-detection","tabular-data"],"use_cases":["Inspect and classify the type and formatting properties of individual values before processing or display.","Analyze tabular data to determine column types and optimal display widths for formatted output.","Validate data consistency by extracting type information from each cell in a matrix.","Generate metadata for table rendering systems that need alignment, width, and type hints.","Detect and handle edge cases like NaN, infinity, and mixed-type columns in data validation pipelines."],"what_it_does":"DataProperty is a Python library that analyzes individual values and tabular data to extract structural and formatting properties. For a single value, it determines its type (integer, float, string, boolean, datetime, NaN, infinity) and computes metadata like display width, alignment, digit counts, and decimal places. For matrices, it can extract properties for each cell or aggregate properties by column, returning objects that describe the characteristics of each column's data.\n\nThe library is designed for data inspection and formatting tasks\u2014useful when you need to understand how data should be displayed, validate type consistency across columns, or prepare metadata for table rendering. It handles multi-byte strings, special numeric values, and mixed-type columns, making it practical for data cleaning, validation, and presentation workflows.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, installs with minimal friction, and solves a specific problem\u2014extracting data properties for inspection and formatting. It's appropriate for data processing, validation, and table rendering tasks. The MIT license poses no restrictions."},"id":"dataproperty","links":{"html":"https://skillfed.io/packages/dataproperty","md":"https://skillfed.io/packages/dataproperty.md","pypi":"https://pypi.org/project/dataproperty/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-09","license_spdx":null,"license_treatment":"permissive","name":"DataProperty","python_support":"supports_current","summary":"Python library for extract property from data."},"popularity":{"monthly_downloads":13610310,"position":1272,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.1.1"}