kvf
The key-value file format with sections
Decision gist · record as of 2026-08-14
Yes, if you need a lightweight sectioned config format with Paradict encoding and can tolerate dormant maintenance. The low install friction and permissive license make it suitable for small projects, but the lack of active development and minimal community adoption (1 star, 612 days since release) mean you should expect no bug fixes or feature updates. Use only if the KvF format itself is the right fit for your use case.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.5 or newer.
- Low install friction with only two runtime dependencies (paradict and braq).
- Maintenance is dormant—last commit was 2024-12-10 and the project has received no updates since initial release in late 2024, so expect no active support or bug fixes.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects that can accept a permissive license.
last release 2024-12-10 (612 days) · last repo commit 2024-12-10 · 1 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 124,054 downloads/mo, #11,889 on PyPI
Alternatives
Verify before relying
import kvf
# Read a config file
my_config = kvf.get_config("/path/to/config.kvf")
# Write a config file
kvf.put_config(my_config, "/path/to/config.kvf")- Whether the package handles edge cases like duplicate section names or malformed Paradict syntax gracefully.
- Performance characteristics when parsing large config files.
- Compatibility with all Paradict data types and nested structures beyond the documented examples.
What it is and what it does
KvF is a configuration file format parser that combines key-value pairs with named sections, using Paradict as its underlying text encoding. It provides a simple API to read and write config files as Python dictionaries, where each section becomes a top-level key mapping to a nested dictionary of settings. The format supports comments, nested data structures (lists and dictionaries), and Paradict's type syntax for explicit data representation.
The package is built on two dependencies—paradict for text serialization and braq for section parsing—and offers four main functions: get_config() and load() for reading files, and put_config() and dump() for writing them. It's designed to be a lightweight alternative to formats like INI or YAML when you need sections with structured nested values.
Use it for
- Store application settings in a human-readable sectioned format with support for nested lists and dictionaries.
- Parse configuration files that require both section organization and complex data types without JSON overhead.
- Replace simple INI-style configs when you need to represent nested structures like lists of items per section.
- Load and save user preferences organized by feature or module as separate sections in one file.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a lightweight sectioned config format with Paradict encoding and can tolerate dormant maintenance.
The low install friction and permissive license make it suitable for small projects, but the lack of active development and minimal community adoption (1 star, 612 days since release) mean you should expect no bug fixes or feature updates. Use only if the KvF format itself is the right fit for your use case.
Install
kvf on PyPI
Before you install
Low install friction with only two runtime dependencies (paradict and braq). Maintenance is dormant—last commit was 2024-12-10 and the project has received no updates since initial release in late 2024, so expect no active support or bug fixes.
Requires Python 3.5 or newer.
License in practice
MIT license is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects that can accept a permissive license.
Quickstart
import kvf
# Read a config file
my_config = kvf.get_config("/path/to/config.kvf")
# Write a config file
kvf.put_config(my_config, "/path/to/config.kvf")
Verify before relying
- Whether the package handles edge cases like duplicate section names or malformed Paradict syntax gracefully.
- Performance characteristics when parsing large config files.
- Compatibility with all Paradict data types and nested structures beyond the documented examples.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.5 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesparadictbraq |
| Maintenance | Dormant 612 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 124,054 / month, #11,889 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 :: 3 |
Evidence: kvf-0.0.3-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 › “config file parser”
- kvfReads and writes configuration files in KvF format, a key-value file…
- INIToolsINITools parses and manipulates INI-style configuration files through…
- iniparseiniparse is an INI file parser that preserves formatting (comments,…
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 braq · paradict · shared · jproperties · ConfigArgParse · configobj · hierarchical-conf · ConfigUpdater · simplekv · iniconfig