dictknife
utility set of handling dict
Decision gist · record as of 2026-08-14
Yes, if you work frequently with dictionaries and want to reduce boilerplate. Low install friction, no dependencies, and permissive licensing make it a safe addition. However, the aging maintenance status (405 days since last release) and sparse documentation suggest checking whether the specific dict operations you need are actually provided before committing to it in a new project.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction with no runtime dependencies.
- Maintenance status is aging—last release was 405 days ago, though the repository remains active with a commit as recent as 2025-07-10.
License · maintenance · safety
MIT (permissive) — MIT license (permissive) places no restrictions on use, modification, or redistribution in proprietary or open-source projects.
last release 2025-07-05 (405 days) · last repo commit 2025-07-10 · 21 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 79,528 downloads/mo, #14,350 on PyPI
Alternatives
Verify before relying
pip install dictknife
from dictknife import something # specific API depends on use case
# Example: manipulate or query a dictionary- What specific dict operations does the package provide (e.g., deep merge, path-based access, filtering)?
- What do the optional extras 'load' and 'command' add beyond the base package?
- Is the documentation at http://dictknife.readthedocs.io current, given the note that it is obsoleted?
What it is and what it does
dictknife is a utility library for working with Python dictionaries. It provides a collection of helper functions and tools to simplify common dict operations—the description calls it a "swiss army knife" for dict handling. The package supports optional extras for data loading and command-line usage, suggesting it can work with dict data from files and expose dict operations via CLI.
The package requires Python 3.10 or later and has no external runtime dependencies, making it lightweight to install. Maintenance is aging (last release 405 days ago), though the repository remains publicly available and has received recent commits. It is licensed under MIT, permitting unrestricted use.
Use it for
- Simplify common dictionary operations in data processing scripts without writing boilerplate code.
- Load and transform dictionary-structured data from files as part of a data pipeline.
- Access or manipulate nested dictionaries using utility functions instead of manual traversal.
- Expose dict operations via command-line interface for ad-hoc data inspection and transformation.
- Reduce code duplication when working with dict-heavy Python applications.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work frequently with dictionaries and want to reduce boilerplate.
Low install friction, no dependencies, and permissive licensing make it a safe addition. However, the aging maintenance status (405 days since last release) and sparse documentation suggest checking whether the specific dict operations you need are actually provided before committing to it in a new project.
Install
dictknife on PyPI
Before you install
Low install friction with no runtime dependencies. Maintenance status is aging—last release was 405 days ago, though the repository remains active with a commit as recent as 2025-07-10. Supports current Python versions (3.10, 3.11, 3.12).
Requires Python 3.10 or later.
License in practice
MIT license (permissive) places no restrictions on use, modification, or redistribution in proprietary or open-source projects.
Quickstart
pip install dictknife
from dictknife import something # specific API depends on use case
# Example: manipulate or query a dictionaryVerify before relying
- What specific dict operations does the package provide (e.g., deep merge, path-based access, filtering)?
- What do the optional extras 'load' and 'command' add beyond the base package?
- Is the documentation at http://dictknife.readthedocs.io current, given the note that it is obsoleted?
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 405 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 79,528 / month, #14,350 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12 |
Evidence: dictknife-0.14.2-py3-none-any.whl
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 › “dict manipulation utilities”
- dictknifedictknife provides utility functions for manipulating, querying, and…
- convertertoolsProvides lightweight utilities for manipulating Python dictionaries…
- bx-py-utilsA collection of utility functions covering anonymization, dictionary…
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 python-bitcoinlib · flatdict · convertertools · querystring-parser · cattrs · tools · ndindex · missingno · flatten-dict · bx-py-utils