lazr.config
Create configuration schemas, and process and validate configurations.
Decision gist · record as of 2026-08-14
Yes, if you need declarative configuration schema validation. Low install friction, active maintenance, no known vulnerabilities, and copyleft licensing is straightforward for most projects. Install it if your application requires validated, schema-driven configuration; skip it if you're handling simple key-value configs or prefer runtime validation.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later.
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with a recent release 13 days ago.
License · maintenance · safety
LGPL v3 (copyleft) — Licensed under LGPL v3 (copyleft). You may use this package freely, but any modifications you distribute must also be released under LGPL v3 or a compatible license, and you must make source code available to recipients.
last release 2026-08-01 (13 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 661,030 downloads/mo, #5,454 on PyPI
Alternatives
Verify before relying
pip install lazr-config
from lazr.config import ConfigSchema
schema = ConfigSchema()
# Define and validate configuration- Whether the package is actively maintained beyond the recent release (repository metadata unavailable).
- Real-world usage patterns and what the monthly download volume reflects about adoption.
What it is and what it does
lazr.config is a configuration management library that lets you define schemas for configuration data and validate configurations against those schemas. It handles the parsing and processing of configuration files, ensuring they conform to a declared structure. The package is built on zope.interface and lazr.delegates, integrating with the Zope ecosystem.
You use it by defining a schema that specifies what configuration keys and values are allowed, then passing configuration data through that schema for validation. It's useful when you need structured, validated configuration rather than ad-hoc parsing of raw config files.
Use it for
- Define and enforce a schema for application configuration files to catch errors early.
- Validate user-supplied configuration data before passing it to application logic.
- Build configuration management systems that require structured, typed configuration.
- Parse and validate configuration in tools or frameworks that need strict schema compliance.
- Integrate configuration validation into Zope-based applications.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need declarative configuration schema validation.
Low install friction, active maintenance, no known vulnerabilities, and copyleft licensing is straightforward for most projects. Install it if your application requires validated, schema-driven configuration; skip it if you're handling simple key-value configs or prefer runtime validation.
Install
lazr-config on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a recent release 13 days ago. Depends on zope.interface and lazr.delegates, both established ecosystem packages.
Requires Python 3.8 or later.
License in practice
Licensed under LGPL v3 (copyleft). You may use this package freely, but any modifications you distribute must also be released under LGPL v3 or a compatible license, and you must make source code available to recipients.
Quickstart
pip install lazr-config
from lazr.config import ConfigSchema
schema = ConfigSchema()
# Define and validate configurationVerify before relying
- Whether the package is actively maintained beyond the recent release (repository metadata unavailable).
- Real-world usage patterns and what the monthly download volume reflects about adoption.
Package facts
| License | LGPL v3 copyleft |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packageszope.interfacelazr.delegates |
| Maintenance | Actively maintained 13 days since the last release |
| First released | |
| Downloads | 661,030 / month, #5,454 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)Operating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: lazr_config-4.0.0-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 › “configuration schema validation”
- lazr.configlazr.config lets you define configuration schemas and validate…
- cfgvValidates configuration data against schemas and produces detailed,…
- annotatedyamlParses and validates YAML files with support for embedded secrets and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also lazr.uri · kubernetes-validate · lazr.delegates · yacs · schema · chz · lazr.restfulclient · azure-schemaregistry · dataframely · pandera