#136 · Programming Languages Developer Tool

Python Inspector

Inspect Python source for complexity, function size, nesting, documentation coverage, risky constructs, debug statements, hardcoded paths, and maintainability signals. The report is heuristic and runs entirely in your browser.

Developer Input

Source code

Python Inspector Input

import os

def process(data, debug=False):
    if debug:
        print(data)
    for item in data:
        if item:
            if len(item) > 10:
                return item
    return None

Report Format

Long Function Threshold

lines

Analyze complexity Analyze documentation Detect risky patterns Detect hardcoded values Include recommendations Auto-run while typing

How to use this developer tool

Paste Python code.
Choose the report format.
Set the long-function threshold.
Run the inspection.
Review metrics and prioritized recommendations.

What this developer tool does

It calculates lightweight maintainability signals from static source text. It does not execute imports or code and does not claim compiler-level accuracy.

Extract declarations → calculate size and nesting → count branches → scan risk patterns → score maintainability → generate recommendations.

Scores are heuristic indicators. Use the individual findings, not only the overall score, when reviewing code quality.

Example

Input

def calculate(a,b,c,d,e,f):
    if a:
        if b:
            return c

Result

Warning: Too many parameters.
Warning: Nested control flow detected.

Tips for better output

Prioritize deep nesting and long functions.
Treat possible-secret detection as a review prompt, not proof.
Combine this report with tests and a real linter.

FAQ

How do I check Python code complexity online?

Run the inspector with complexity analysis enabled to estimate branches and nesting.

How can I find long functions in Python code?

Set the threshold and inspect; functions beyond it are listed.

How do I calculate Python maintainability score?

The tool combines size, nesting, complexity, comments, and risk findings into a heuristic score.

Can I detect missing docstrings in Python?

Yes. Documentation analysis checks whether functions and classes begin with a triple-quoted string.

How do I find deeply nested Python code?

The report includes maximum indentation depth and flags high nesting.

Related developer tools

TypeScript Checker TypeScript Generator TypeScript Formatter TypeScript Converter

Inspection metrics

Structure	Functions, classes, imports
Complexity	Branches and nesting
Documentation	Comments and docstrings
Risk	Debug, bare except, paths, URLs

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