{"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"},{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/2"}],"enrichment":{"capability":"Pydash provides a collection of functional utility functions for common programming tasks, ported from the Lo-Dash JavaScript library to Python.","skillfed_tags":["functional-programming","utility-library","lodash-port"],"use_cases":["Apply functional utilities for data transformation and filtering across collections.","Compose data processing pipelines with functional helpers for common operations.","Port JavaScript code using Lo-Dash to Python while maintaining similar function names.","Build utilities for functional-style data manipulation in Python projects.","Simplify repeated utility operations across a codebase with a shared functional toolkit."],"what_it_does":"Pydash is a Python port of the Lo-Dash JavaScript utility library, providing a collection of functions for functional-style programming. It offers utilities for common tasks like data transformation, filtering, mapping, and composition in a functional paradigm. The package is designed as a general-purpose toolkit\u2014\"the kitchen sink\"\u2014for developers who prefer functional approaches to procedural code.\n\nThe library depends only on typing-extensions and requires Python 3.9 or later. It's actively maintained (last commit 2026-07-26) and classified as Production/Stable. The authors note that alternative libraries may be better suited for memory-intensive work with large datasets, suggesting pydash is optimized for general utility rather than streaming or memory efficiency.","worth_installing":"Yes. Pydash is actively maintained, carries no known vulnerabilities, has a permissive MIT license, and imposes minimal install friction. It's well-established and in the top 5000 PyPI packages by download volume. Install it if you prefer functional programming patterns and want a comprehensive utility library; skip it if you need memory efficiency for large datasets or prefer Python's built-in functional tools."},"id":"pydash","links":{"html":"https://skillfed.io/packages/pydash","md":"https://skillfed.io/packages/pydash.md","pypi":"https://pypi.org/project/pydash/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-01-17","license_spdx":"MIT","license_treatment":"permissive","name":"pydash","python_support":"supports_current","summary":"The kitchen sink of Python utility libraries for doing \"stuff\" in a functional way. Based on the Lo-Dash Javascript library."},"popularity":{"monthly_downloads":10469398,"position":1451,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"8.0.6"}