{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/8"}],"enrichment":{"capability":"Monty provides supplementary utility functions and design patterns that extend Python's standard library, including transparent zipped file support, singleton and cached class patterns, and other commonly needed tools.","skillfed_tags":["design-patterns","utilities","scientific-python"],"use_cases":["Implementing singleton or cached class patterns in scientific frameworks without writing custom decorators.","Transparently reading and writing files stored in zip archives without manual extraction.","Adding commonly needed utility functions to data processing pipelines that use numpy and ruamel.yaml.","Reducing boilerplate code in large Python projects by reusing well-tested design patterns.","Extending Python's standard library capabilities in development workflows where convenience matters."],"what_it_does":"Monty is a utility library that fills gaps in Python's standard library by providing reusable helper functions and design patterns. It offers transparent support for working with zipped files, implements common patterns like singleton and cached_class decorators, and collects solutions to problems that developers frequently encounter across scientific and general-purpose projects.\n\nThe package depends on ruamel.yaml and numpy, making it suitable for projects already using those libraries. It's classified as Beta (Development Status 4) and actively maintained, with support for current Python versions (3.11+). The library is intended as a complement to the standard library rather than a replacement, designed to reduce boilerplate and provide battle-tested solutions to recurring problems.","worth_installing":"Yes, if you're building scientific or data-heavy Python projects and want to reduce boilerplate with battle-tested utilities. The low install friction, permissive license, active maintenance, and zero known vulnerabilities make it a safe addition. The dependency on numpy and ruamel.yaml means it's most valuable in projects already using those libraries; if you're not, the overhead may not justify it."},"id":"monty","links":{"html":"https://skillfed.io/packages/monty","md":"https://skillfed.io/packages/monty.md","pypi":"https://pypi.org/project/monty/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-16","license_spdx":null,"license_treatment":"permissive","name":"monty","python_support":"supports_current","summary":"Monty is the missing complement to Python."},"popularity":{"monthly_downloads":952390,"position":4653,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2026.7.16"}