flake8-lazy 0.2.0

Detect imports that can be lazy

flake8-lazy

flake8-lazy is a flake8 plugin that finds imports which can be made lazy in Python 3.15 (following PEP 810).

flake8-lazy helps keep import-time overhead low by detecting imports that can be declared as lazy in __lazy_modules__. For this package itself, flake8-lazy --help runs roughly twice as fast when using Python 3.15's new lazy import system.

Error messages will mention __lazy_modules__ since that is backward compatible with older Python versions, but the lazy keyword is supported too.

Install

python -m pip install flake8-lazy

Usually you would include this in some sort of dependency-group in your project, e.g. dev or lint.

flake8 will automatically discover the plugin. There's also a standalone flake8-lazy runner. If you use uv or pipx, you can run it from anywhere without installation:

uvx flake8-lazy <filenames>
# OR
pipx run flake8-lazy <filenames>

Rule codes

1xx: Missing lazy declarations

• LZY101: Missing lazy stdlib module in __lazy_modules__
• LZY102: Missing lazy third-party or local module in __lazy_modules__

2xx: __lazy_modules__ validation

• LZY201: __lazy_modules__ list is not sorted
• LZY202: Module listed in __lazy_modules__ is never imported
• LZY203: Module listed in __lazy_modules__ appears more than once
• LZY204: __lazy_modules__ is assigned after importing modules it names
• LZY205: Module name in __lazy_modules__ is relative (.name) instead of absolute

3xx: Native lazy keyword (Python 3.15+)

• LZY301: Lazy import inside suppress(ImportError) is misleading
• LZY302: Module is declared lazy by both lazy keyword and __lazy_modules__
• LZY303: Module is imported both eagerly and lazily

4xx: Lazy import safety and semantics

• LZY401: Module is declared lazy but accessed at the top level

Basic example

__lazy_modules__ = ["argparse"]

import argparse
import requests


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("url")
    args = parser.parse_args()

    response = requests.get(args.url, timeout=5)
    print(response.status_code)

In this example, requests is only used inside main, so it can be lazy. The checker expects it in __lazy_modules__ and emits LZY102 until you add it. Running --help will not import requests, resulting in a more responsive app!

How detection works

flake8-lazy inspects module-scope imports and module runtime usage.

• Counts top-level import and from ... import ... statements.
• Currently treats annotation-only usage as lazy-capable (from __future__ import annotations if not using 3.14+).
• Treats usage inside if typing.TYPE_CHECKING: as type-only.
• Skips from __future__ import ....
• Requires exact module entries for nested imports.

Nested import note:

import email.header

__lazy_modules__ = ["email"]  # Not enough

This emits LZY101; the required entry is "email.header". PEP 810 requires full module names.

Missing relative imports use f"{__spec__.parent}.name".

CLI

The project also provides a direct CLI runner:

flake8-lazy path/to/file.py another_file.py
# or
uvx flake8-lazy path/to/file.py another_file.py

The default output format matches flake8-style diagnostics:

path/to/file.py:12:0: LZY102 module 'numpy' should be listed in __lazy_modules__

You can also ask for a copy-pasteable recommendation instead:

flake8-lazy --format lazy-modules path/to/file.py

path/to/file.py: __lazy_modules__ = ["numpy", "pandas"]

This prints the sorted __lazy_modules__ value the checker recommends for each file when it differs from the file's current static __lazy_modules__ declaration. The command still exits with status code 1 if the file has any diagnostics.

The command exits with status code 1 if any error is found.

Authoring __lazy_modules__

Use a static, sorted list of strings:

__lazy_modules__ = [
    "argparse",
    "numpy",
    "pathlib",
]

Dynamic values are intentionally ignored for now.

Local development

Run tests:

nox -s tests
# or
uv run pytest

Run linting:

nox -s lint
# or
prek -a

Build docs:

nox -s docs --non-interactive

Serve docs locally:

nox -s docs

Acknowledgements

GitHub Copilot in VS Code was used to help develop this package. The Scientific Python Development Guide template was used as a starting point.