Blazingly fast cognitive complexity analysis for Python, written in Rust.
Cognitive complexity measures how hard code is to understand by humans, not machines.
Unlike traditional metrics, cognitive complexity considers the mental effort required to read and comprehend code. It identifies truly complex code that needs refactoring, making it perfect for code reviews and maintaining clean codebases.
Key benefits:
- Human-focused — Aligns with developer intuition
- Actionable insights — Pinpoints hard-to-understand code
- Better maintenance — Improves long-term code quality
pip install complexipy
# or
uv add complexipy# Analyze current directory
complexipy .
# Analyze specific file/directory
complexipy path/to/code.py
# Analyze with custom threshold
complexipy . --max-complexity-allowed 10
# Save results to JSON/CSV
complexipy . --output-json --output-csvfrom complexipy import file_complexity, code_complexity
# Analyze a file
result = file_complexity("app.py")
print(f"File complexity: {result.complexity}")
for func in result.functions:
print(f"{func.name}: {func.complexity}")
# Analyze code string
snippet = """
def complex_function(data):
if data:
for item in data:
if item.is_valid():
process(item)
"""
result = code_complexity(snippet)
print(f"Complexity: {result.complexity}")🔧 GitHub Actions
- uses: rohaquinlop/complexipy-action@v2
with:
paths: .
max_complexity_allowed: 10
output_json: true🪝 Pre-commit Hook
repos:
- repo: https://github.com/rohaquinlop/complexipy-pre-commit
rev: v3.0.0
hooks:
- id: complexipy🔌 VS Code Extension
Install from the marketplace for real-time complexity analysis with visual indicators.
complexipy supports configuration via TOML files. Configuration files are loaded in this order of precedence:
complexipy.toml(project-specific config).complexipy.toml(hidden config file)pyproject.toml(under[tool.complexipy]section)
# complexipy.toml or .complexipy.toml
paths = ["src", "tests"]
max-complexity-allowed = 10
quiet = false
ignore-complexity = false
details = "normal"
sort = "asc"
[output]
csv = true
json = true# pyproject.toml
[tool.complexipy]
paths = ["src", "tests"]
max-complexity-allowed = 10
quiet = false
ignore-complexity = false
details = "normal"
sort = "asc"
[tool.complexipy.output]
csv = true
json = true| Flag | Description | Default |
|---|---|---|
--max-complexity-allowed |
Complexity threshold | 15 |
--output-json |
Save results as JSON | false |
--output-csv |
Save results as CSV | false |
--details <normal|low> |
Output verbosity | normal |
--sort <asc|desc|name> |
Sort results | asc |
--quiet |
Suppress output | false |
--ignore-complexity |
Don't exit with error on threshold breach | false |
# Core functions
file_complexity(path: str) -> FileComplexity
code_complexity(source: str) -> CodeComplexity
# Return types
FileComplexity:
├─ path: str
├─ complexity: int
└─ functions: List[FunctionComplexity]
FunctionComplexity:
├─ name: str
├─ complexity: int
├─ line_start: int
└─ line_end: intDocumentation • PyPI • GitHub
Built with ❤️ by @rohaquinlop and contributors
Inspired by the Cognitive Complexity research by SonarSource