strict-kwargs
Enforce using keyword arguments where possible.
Decision gist · record as of 2026-08-14
Yes, if you use ty for type checking or prefer a standalone linter without plugins. The tool is actively maintained, has no known vulnerabilities, and solves a real code-clarity problem with automatic fixes. Medium install friction (platform-specific wheels, Python 3.11+ requirement) is manageable for most projects. Start with a trial run on your codebase using --diff to preview changes.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- Implemented in Rust; platform-specific wheels are provided.
- Medium install friction due to platform-specific wheels (macOS ARM64, manylinux, Windows).
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-07-24 (21 days) · last repo commit 2026-08-13 · 1 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 152,276 downloads/mo, #10,907 on PyPI
Alternatives
Verify before relying
pip install strict-kwargs
strict-kwargs check .
strict-kwargs check --fix .- Whether the Rust implementation affects performance on large codebases compared to pure-Python linters.
- How well the tool integrates with existing linting workflows beyond pre-commit.
- Whether synthesized constructor fixes (dataclass, NamedTuple) are safe by default in all projects.
What it is and what it does
strict-kwargs is a standalone linter written in Rust that enforces the use of keyword arguments in Python function calls. It scans Python code and reports violations where functions are called with positional arguments instead of named ones, then optionally rewrites them automatically. The tool is designed to improve code clarity and enable better error messages from type checkers by making argument intent explicit.
It runs as a CLI tool and integrates with pre-commit, pyproject.toml configuration, and supports multiple output formats (Ruff-style diagnostics, JSON, GitHub Actions annotations). The tool depends only on ty for runtime and supports Python 3.11 through 3.14. It includes a caching system, suppression via noqa comments, and configurable exclusions for generated or vendored code.
Use it for
- Enforce consistent function call style across a codebase to prevent ambiguous positional argument calls.
- Automatically rewrite existing positional arguments to keyword form during refactoring.
- Integrate into pre-commit hooks to catch violations before code review.
- Improve type checker error messages by ensuring all arguments are named.
- Configure project-wide rules via pyproject.toml to skip specific functions like builtins.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use ty for type checking or prefer a standalone linter without plugins.
The tool is actively maintained, has no known vulnerabilities, and solves a real code-clarity problem with automatic fixes. Medium install friction (platform-specific wheels, Python 3.11+ requirement) is manageable for most projects. Start with a trial run on your codebase using --diff to preview changes.
Install
strict-kwargs on PyPI
Before you install
Medium install friction due to platform-specific wheels (macOS ARM64, manylinux, Windows). Active maintenance with recent releases; last commit 2026-08-13. Requires Python 3.11 or later.
Requires Python 3.11 or later. Implemented in Rust; platform-specific wheels are provided.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install strict-kwargs
strict-kwargs check .
strict-kwargs check --fix .Verify before relying
- Whether the Rust implementation affects performance on large codebases compared to pure-Python linters.
- How well the tool integrates with existing linting workflows beyond pre-commit.
- Whether synthesized constructor fixes (dataclass, NamedTuple) are safe by default in all projects.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagety |
| Maintenance | Actively maintained 21 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 152,276 / month, #10,907 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleLicense :: OSI Approved :: MIT LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIXProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: RustTopic :: Software Development :: Quality Assurance |
Evidence: strict_kwargs-2026.7.24-py3-none-macosx_11_0_arm64.whl; strict_kwargs-2026.7.24-py3-none-manylinux_2_39_x86_64.whl; strict_kwargs-2026.7.24-py3-none-win_amd64.whl
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See also backcall · mypy-strict-kwargs · overloading · wemake-python-styleguide · import-linter · gitlint-core · flake8-noqa · flake8 · ty