super-collections
file: README.md
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a single runtime dependency (hjson).
- Maintenance status is aging—last commit was 2025-09-30 but the project has only 2 stars and receives infrequent updates, suggesting limited active development.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in commercial and private projects with minimal restrictions.
last release 2025-09-30 (318 days) · last repo commit 2025-09-30 · 2 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,375,099 downloads/mo, #3,098 on PyPI
Alternatives
Verify before relying
import json
from super_collections import SuperDict
with open('data.json', 'r') as f:
data = json.load(f)
doc = SuperDict(data)
print(doc.author) # instead of doc['author']
for item in doc.items:
print(item.name) # instead of item['name']- Whether SuperDict and SuperList preserve all standard dict/list methods without behavioral surprises in edge cases
- Performance characteristics when working with very large or deeply nested structures
- Compatibility with type checkers (mypy, pyright) given the dynamic attribute access pattern
What it is and 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—nested dictionaries within lists are automatically converted to SuperDicts, ensuring consistent dot notation throughout the entire structure.
The 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.
Use it for
- 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
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
super-collections on PyPI
Before you install
Low install friction with a single runtime dependency (hjson). Maintenance status is aging—last commit was 2025-09-30 but the project has only 2 stars and receives infrequent updates, suggesting limited active development.
License in practice
MIT license is permissive, allowing use in commercial and private projects with minimal restrictions.
Quickstart
import json
from super_collections import SuperDict
with open('data.json', 'r') as f:
data = json.load(f)
doc = SuperDict(data)
print(doc.author) # instead of doc['author']
for item in doc.items:
print(item.name) # instead of item['name']Verify before relying
- Whether SuperDict and SuperList preserve all standard dict/list methods without behavioral surprises in edge cases
- Performance characteristics when working with very large or deeply nested structures
- Compatibility with type checkers (mypy, pyright) given the dynamic attribute access pattern
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagehjson |
| Maintenance | Aging 318 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,375,099 / month, #3,098 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: super_collections-0.6.2-py3-none-any.whl
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