flake8_simplify
flake8 plugin which checks for code that can be simplified
Decision gist · record as of 2026-08-14
Yes. It has low install friction, active maintenance, no security vulnerabilities, and a permissive license. It integrates seamlessly into existing flake8 workflows and catches real simplification opportunities. Install it if you want automated suggestions for more idiomatic Python code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; flake8 must be installed first.
- Low install friction; depends only on flake8.
- Actively maintained with recent commits and no known vulnerabilities.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), so you can use and modify freely in most projects.
last release 2026-01-01 (225 days) · last repo commit 2026-07-21 · 194 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 411,729 downloads/mo, #6,854 on PyPI
Alternatives
Verify before relying
pip install flake8-simplify
flake8 .
# Output: ./foo/__init__.py:690:12: SIM101 Multiple isinstance-calls which can be merged into a single call for variable 'other'- Whether all experimental SIM9xx rules are stable enough for production use or still subject to change.
- Performance impact when running against large codebases with many files.
What it is and what it does
flake8-simplify is a flake8 plugin that scans your Python code and suggests simplifications across multiple categories: isinstance calls, exception handling, boolean logic, comparisons, dictionary operations, and general code style. It works by integrating directly into flake8's linting pipeline—once installed, running `flake8 .` automatically applies its rules alongside any other flake8 plugins you have enabled.
The plugin detects patterns where Python offers a more concise or idiomatic way to express the same logic. For example, it flags multiple isinstance checks that could be merged into a single call, try-except-pass blocks that should use contextlib.suppress, or if-else chains that could become dictionary lookups. It supports Python 3.9 through 3.13 and includes both stable rules (SIM101–SIM300 range) and experimental rules (SIM9xx prefix) that remain under evaluation.
Use it for
- Enforce code simplification standards across a team by adding flake8-simplify to CI/CD linting checks.
- Refactor legacy code to use more idiomatic Python patterns without manually reviewing every file.
- Learn Python idioms by seeing real suggestions on your own code during development.
- Reduce cognitive load in code reviews by automating detection of unnecessarily complex patterns.
- Catch isinstance merging and boolean logic opportunities that are easy to miss in manual review.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
It has low install friction, active maintenance, no security vulnerabilities, and a permissive license. It integrates seamlessly into existing flake8 workflows and catches real simplification opportunities. Install it if you want automated suggestions for more idiomatic Python code.
Install
flake8-simplify on PyPI
Before you install
Low install friction; depends only on flake8. Actively maintained with recent commits and no known vulnerabilities.
Requires Python 3.9 or later; flake8 must be installed first.
License in practice
Licensed under MIT (permissive), so you can use and modify freely in most projects.
Quickstart
pip install flake8-simplify
flake8 .
# Output: ./foo/__init__.py:690:12: SIM101 Multiple isinstance-calls which can be merged into a single call for variable 'other'
Verify before relying
- Whether all experimental SIM9xx rules are stable enough for production use or still subject to change.
- Performance impact when running against large codebases with many files.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageflake8 |
| Maintenance | Actively maintained 225 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 411,729 / month, #6,854 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 :: ConsoleFramework :: Flake8Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming 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 :: 3.9Topic :: Software Development |
Evidence: flake8_simplify-0.30.0-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 › “flake8 code simplification plugin”
- flake8_simplifyA flake8 plugin that detects and flags opportunities to simplify…
- flake8-plugin-utilsProvides base classes and utilities for writing flake8 plugins,…
- flake8-blackA flake8 plugin that runs black's code style validation within the…
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 flake8-django · flake8-comprehensions · flake8 · wemake-python-styleguide · flake8-print · flake8-quotes · flake8-return · flake8-picky-parentheses · flake8-annotations · flake8-logging