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complexipy

complexipy

Blazingly fast cognitive complexity analysis for Python, written in Rust.

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What is Cognitive Complexity?

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

Installation

pip install complexipy
# or
uv add complexipy

Quick Start

Command Line

# 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-csv

# Analyze current directory while excluding specific files
complexipy . --exclude path/to/exclude.py --exclude path/to/other/exclude.py

Python API

from 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}")

Integrations

🔧 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](https://marketplace.visualstudio.com/items?itemName=rohaquinlop.complexipy) for real-time complexity analysis with visual indicators.

Configuration

TOML Configuration Files

complexipy supports configuration via TOML files. Configuration files are loaded in this order of precedence:

  1. complexipy.toml (project-specific config)
  2. .complexipy.toml (hidden config file)
  3. pyproject.toml (under [tool.complexipy] section)

Example Configuration

# complexipy.toml or .complexipy.toml
paths = ["src", "tests"]
max-complexity-allowed = 10
snapshot-create = false
snapshot-ignore = false
quiet = false
ignore-complexity = false
failed = false
color = "auto"
sort = "asc"
exclude = []
output-csv = false
output-json = false
# pyproject.toml
[tool.complexipy]
paths = ["src", "tests"]
max-complexity-allowed = 10
snapshot-create = false
snapshot-ignore = false
quiet = false
ignore-complexity = false
failed = false
color = "auto"
sort = "asc"
exclude = []
output-csv = false
output-json = false

CLI Options

Flag Description Default
--exclude Exclude entries relative to each provided path. Entries resolve to existing directories (prefix match) or files (exact match). Non-existent entries are ignored.
--max-complexity-allowed Complexity threshold 15
--snapshot-create Save the current violations above the threshold into complexipy-snapshot.json false
--snapshot-ignore Skip comparing against the snapshot even if it exists false
--failed Show only functions above the complexity threshold false
--color <auto\|yes\|no> Use color auto
--sort <asc\|desc\|name> Sort results asc
--quiet Suppress output false
--ignore-complexity Don't exit with error on threshold breach false
--version Show installed complexipy version and exit -
--output-json Save results as JSON false
--output-csv Save results as CSV false

Example:

# Exclude only top-level 'tests' directory under the provided root
complexipy . --exclude tests
# This will not exclude './complexipy/utils.py' if you pass '--exclude utils' at repo root,
# because there is no './utils' directory or file at that level.

Snapshot Baselines

Use snapshots to adopt complexipy in large, existing codebases without touching every legacy function at once.

# Record the current state (creates complexipy-snapshot.json in the working directory)
complexipy . --snapshot-create --max-complexity-allowed 15

# Block regressions while allowing previously-recorded functions
complexipy . --max-complexity-allowed 15

# Temporarily skip the snapshot gate
complexipy . --snapshot-ignore

The snapshot file only stores functions whose complexity exceeds the configured threshold. When a snapshot file exists, complexipy will automatically:

  • fail if a new function crosses the threshold,
  • fail if a tracked function becomes more complex, and
  • pass (and update the snapshot) when everything is stable or improved, automatically removing entries that now meet the standard.

Use --snapshot-ignore if you need to temporarily bypass the snapshot gate (for example during a refactor or while regenerating the baseline).

Inline Ignores

You can explicitly ignore a known complex function inline, similar to Ruff's C901 ignores:

def legacy_adapter(x, y):  # noqa: complexipy (safe wrapper)
    if x and y:
        return x + y
    return 0

Place # noqa: complexipy on the function definition line (or the line immediately above). An optional reason can be provided in parentheses or plain text, it’s ignored by the parser.

API Reference

# 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: int

Inspired by the Cognitive Complexity research by SonarSource, G. Ann Campbell **[Documentation](https://rohaquinlop.github.io/complexipy/) • [PyPI](https://pypi.org/project/complexipy/) • [GitHub](https://github.com/rohaquinlop/complexipy)** Built with ❤️ by @rohaquinlop and contributors