nested-lookup
Python functions for working with deeply nested documents (lists and dicts)
Decision gist · record as of 2026-08-14
No. The package is abandoned (last release 2022-07-06, 1500+ days ago) with no maintenance signals. While it has no known vulnerabilities and carries permissive licensing, the high install friction combined with lack of active support makes it risky for production use. For nested data manipulation, consider actively maintained alternatives or implement the logic directly in your codebase.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- High install friction reported.
- Package is abandoned as of 1500 days since last release, with no recent maintenance signals.
- Installs without runtime dependencies but carries the risk of unaddressed issues.
License · maintenance · safety
Public Domain (permissive) — Public Domain license permits unrestricted use, modification, and distribution with no attribution or liability requirements.
last release 2022-07-06 (1500 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 389,407 downloads/mo, #7,029 on PyPI
Alternatives
Verify before relying
pip install nested-lookup
from nested_lookup import nested_lookup
document = {'a': {'b': 42}, 'c': [{'b': 69}]}
result = nested_lookup('b', document)
print(result) # [42, 69]- Current compatibility with Python versions beyond 3.10 and modern dependency ecosystems
- Whether the package functions correctly with very large or deeply nested structures
- Active maintenance status and responsiveness to bug reports given the abandoned classification
What it is and what it does
nested-lookup is a utility library for traversing and manipulating deeply nested Python data structures—typically dictionaries and lists parsed from JSON, YAML, or XML. It provides functions like nested_lookup (find all values for a key at any depth), nested_update (change values across all occurrences), nested_delete (remove keys), and nested_alter (apply a callback to matching values). By default these operations return a modified copy; you can pass in_place=True to mutate the original document.
The package supports optional features like case-insensitive substring matching (wild=True) and returning both keys and values. It also offers utility functions to enumerate all keys in a document, count key or value occurrences, and retrieve both occurrence counts and their associated contexts. No runtime dependencies are required.
Use it for
- Extract all email addresses from a deeply nested configuration or API response document
- Update a specific field across all nested occurrences in a large JSON structure without manual recursion
- Audit a YAML configuration by finding all instances of a sensitive key like 'password' or 'api_key'
- Count how many times a particular value appears in a nested data structure for validation or debugging
- Transform nested numeric values (e.g., add 10 to all 'price' fields) using a callback function
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (last release 2022-07-06, 1500+ days ago) with no maintenance signals. While it has no known vulnerabilities and carries permissive licensing, the high install friction combined with lack of active support makes it risky for production use. For nested data manipulation, consider actively maintained alternatives or implement the logic directly in your codebase.
Install
nested-lookup on PyPI
Before you install
High install friction reported. Package is abandoned as of 1500 days since last release, with no recent maintenance signals. Installs without runtime dependencies but carries the risk of unaddressed issues.
License in practice
Public Domain license permits unrestricted use, modification, and distribution with no attribution or liability requirements.
Quickstart
pip install nested-lookup
from nested_lookup import nested_lookup
document = {'a': {'b': 42}, 'c': [{'b': 69}]}
result = nested_lookup('b', document)
print(result) # [42, 69]Verify before relying
- Current compatibility with Python versions beyond 3.10 and modern dependency ecosystems
- Whether the package functions correctly with very large or deeply nested structures
- Active maintenance status and responsiveness to bug reports given the abandoned classification
Package facts
| License | Public Domain permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,500 days since the last release |
| First released | |
| Downloads | 389,407 / month, #7,029 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 2.6Programming Language :: Python :: 2.7Programming Language :: Python :: 3.10Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: nested-lookup-0.2.25.tar.gz
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “find keys in nested structures”
- nested-lookupProvides functions to search, update, delete, and analyze keys and…
- deepdiffDeepDiff compares dictionaries, iterables, strings, and arbitrary…
- addictProvides a dictionary subclass that allows nested attribute-style…
Give your agent the search over MCP, or paste the wish link into any chat.
More Utilities packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Pygments is a syntax highlighter that colorizes source code and text in over 500 languages and formats, outputting to HTML, LaTeX, RTF, SVG, images, or ANSI terminal sequences.
Install it if you need to display or transform source code.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
See also flatdict · deepmerge · mo-dots · super-collections · flatten-json · dict-recursive-update · dacite · awkward0 · json-ref-dict