plucky
Plucking (deep) keys/paths safely from python collections has never been easier.
Decision gist · record as of 2026-08-14
Yes, if you need safe nested data access in a stable, zero-dependency package and can accept that it receives no active maintenance. The dormant status is not a blocker for read-only use cases, but avoid it if you require ongoing bug fixes or compatibility updates for cutting-edge Python versions. For projects already on Python 3.6 or earlier, or for simple nested-access patterns, it remains a solid choice.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Zero runtime dependencies and a pure-Python wheel make installation frictionless.
- The package is dormant (last release September 2018, last commit December 2024), so expect no active maintenance or bug fixes, though the codebase appears stable.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and imposes no restrictions on use, modification, or distribution in commercial or private projects.
last release 2018-09-05 (2900 days) · last repo commit 2024-12-02 · 15 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 79,724 downloads/mo, #14,337 on PyPI
Alternatives
Verify before relying
pip install plucky
from plucky import plucks, pluckable
obj = {'users': [{'name': {'first': 'John'}}, {'name': {'last': 'Bono'}}]}
plucks(obj, 'users.name.first')
# -> ['John']
pluckable(obj).users.name.first.value- Whether the package works reliably with modern Python versions (classifiers list Python 3.6 as the latest tested version)
- Performance characteristics when working with very large nested structures
- Compatibility with recent versions of Python 3.10+ given the age of the last release
What it is and what it does
Plucky is a lightweight utility for extracting values from nested Python data structures—dictionaries, lists, and objects—without raising exceptions when keys or indices are missing. It offers three main interfaces: `pluckable()` wraps an object and lets you chain attribute and item access with a fluent API; `pluck()` accepts a string selector with Python-like syntax (e.g., `'users[2:5].name["first"]'`); and `plucks()` uses a simpler dot-notation syntax (e.g., `'users.2.name.first'`) for the most common cases. It also includes a `merge()` function for recursively combining nested structures.
The package has no runtime dependencies and installs as a pure Python wheel. It is dormant—the last release was in September 2018, though the repository received a commit in December 2024. The codebase is stable and the API is mature, making it suitable for projects that need straightforward nested access without active maintenance.
Use it for
- Extract nested fields from JSON API responses or parsed configuration files without checking for missing keys at each level
- Safely access deeply nested user or entity data in web applications without defensive None checks
- Merge configuration dictionaries recursively, combining defaults with user-provided overrides
- Pluck multiple values from a list of objects (e.g., all first names from a user list) in a single expression
- Handle heterogeneous nested structures where some branches may be missing or have different shapes
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need safe nested data access in a stable, zero-dependency package and can accept that it receives no active maintenance.
The dormant status is not a blocker for read-only use cases, but avoid it if you require ongoing bug fixes or compatibility updates for cutting-edge Python versions. For projects already on Python 3.6 or earlier, or for simple nested-access patterns, it remains a solid choice.
Install
plucky on PyPI
Before you install
Zero runtime dependencies and a pure-Python wheel make installation frictionless. The package is dormant (last release September 2018, last commit December 2024), so expect no active maintenance or bug fixes, though the codebase appears stable.
License in practice
MIT license is permissive and imposes no restrictions on use, modification, or distribution in commercial or private projects.
Quickstart
pip install plucky
from plucky import plucks, pluckable
obj = {'users': [{'name': {'first': 'John'}}, {'name': {'last': 'Bono'}}]}
plucks(obj, 'users.name.first')
# -> ['John']
pluckable(obj).users.name.first.valueVerify before relying
- Whether the package works reliably with modern Python versions (classifiers list Python 3.6 as the latest tested version)
- Performance characteristics when working with very large nested structures
- Compatibility with recent versions of Python 3.10+ given the age of the last release
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 2,900 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 79,724 / month, #14,337 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 2Programming Language :: Python :: 2.6Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Topic :: Software Development :: Libraries :: Python Modules |
Evidence: plucky-0.4.3-py2.py3-none-any.whl
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