{"categories":[{"label":"Utilities","url":"https://skillfed.io/packages/category/utilities/3"}],"enrichment":{"capability":"Converts nested JSON and YAML data into Python objects with dot-notation attribute access, replacing bracket syntax for dictionary and list navigation.","skillfed_tags":["data-structures","json-yaml","convenience-wrapper"],"use_cases":["Loading JSON configuration files and accessing settings via dot notation (e.g., config.database.host instead of config['database']['host'])","Processing API responses with nested objects to avoid repeated bracket indexing and improve readability","Working with YAML data structures where attribute access is more intuitive than dictionary keys","Building quick prototypes that consume structured data without defining custom dataclasses for each schema","Navigating complex nested lists of dictionaries (e.g., from a JSON array of records) with consistent dot syntax"],"what_it_does":"Super Collections provides SuperDict and SuperList classes that wrap Python dictionaries and lists to enable dot-notation attribute access instead of bracket syntax. When you load JSON or YAML data, you can access nested values as `document.author` instead of `document['author']`, and chain access through lists like `document.blocks[3].name` instead of `document['blocks'][3]['name']`. The conversion is recursive\u2014nested dictionaries within lists are automatically converted to SuperDicts, ensuring consistent dot notation throughout the entire structure.\n\nThe package targets the common friction point of working with structured data loaded from files: standard Python dicts and lists require bracket notation, which becomes verbose and error-prone in deeply nested structures. SuperDict and SuperList maintain full compatibility with standard dict and list methods while adding the convenience of attribute access. It depends only on hjson for serialization and supports Python 3.8 through 3.13.","worth_installing":"Yes, if you frequently work with nested JSON/YAML data and prefer dot notation over bracket syntax. Install friction is minimal and the license is permissive. However, the project is aging with limited maintenance activity (2 stars, infrequent commits), so consider it for scripts and prototypes rather than mission-critical infrastructure. No known vulnerabilities."},"id":"super-collections","links":{"html":"https://skillfed.io/packages/super-collections","md":"https://skillfed.io/packages/super-collections.md","pypi":"https://pypi.org/project/super-collections/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-09-30","license_spdx":null,"license_treatment":"permissive","name":"super-collections","python_support":"supports_current","summary":"file: README.md"},"popularity":{"monthly_downloads":2375099,"position":3098,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.6.2"}