Code Readability Checker

Analyzes code to ensure non-developers (managers, stakeholders, new team members) can understand it.

What It Checks

• Clear naming: No cryptic abbreviations (usr_tkn → userToken)
• Plain comments: Everyday language, not technical jargon
• Documentation: What/Why/How for major sections
• Comment ratio: At least 20% of lines should be comments

Usage

python3 analyze.py --path your-file.py --strictness lenient

Example

Bad Code (score: 71/100):

def proc(usr, tkn):
    tmp = usr + tkn
    return tmp * 2

Issues: Cryptic names, no comments, unclear purpose.

Good Code (score: 95/100):

def process_user_authentication(username, auth_token):
    """Validate user credentials and return auth score"""
    combined_credential = username + auth_token
    return combined_credential * 2

Known Issues

• May flag false positives in documentation files
• Works best on actual production code
• Use --strictness lenient to reduce noise