Code Line Counter

Analyze your source code files with precision - count lines, characters, and get detailed statistics

Input Method

Select Code File:

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Supported: .js, .java, .py, .php, .html, .css, .cpp, .c, .cs, .go, .rb, .ts, .swift, .kt, .rs, .sh

Paste Your Code:

Code Language:

GitHub Repository URL:

File Path (optional): Leave empty to analyze the entire repository

GitHub Token (optional): Required for private repositories (token will not be stored)

Analysis Options

Count empty lines

Count comment lines

Count import/require lines

Ignore generated files

Detailed analysis

Code Analysis Results

📄 No file analyzed yet

Total Lines

Code Lines

Blank Lines

Comment Lines
--

Characters

Words

Functions

Imports

Complexity Metrics

Cyclomatic Complexity

Halstead Metrics

Volume: --

Difficulty: --

Effort: --

Language Statistics

Detailed language-specific statistics will appear here.

Comparison with Average

Comparison data will be visualized here

📊 Line Count in Popular Projects

Project	Language	Total Lines	Code Lines	Comments
Linux Kernel	C	28M	20M	5.5M
React	JavaScript	350K	280K	45K
Python	Python	1.2M	850K	250K
VS Code	TypeScript	2.8M	2.1M	400K
TensorFlow	Python/C++	1.8M	1.3M	350K
Flutter	Dart	1.5M	1.1M	300K

Note: Line counts are approximate and may vary based on version and configuration.

⚡ Code Optimization Tips

📏

Reduce Complexity

Break down functions with high cyclomatic complexity into smaller, more manageable pieces.

🗑️

Remove Dead Code

Regularly clean up unused functions, variables, and imports to reduce maintenance overhead.

📚

Modularize

Split large files into logical modules to improve readability and maintainability.

💬

Meaningful Comments

Focus comments on explaining "why" rather than "what" to provide real value.

🧹

Consistent Formatting

Use linters and formatters to maintain consistent style across your codebase.

📊

Monitor Metrics

Regularly track code metrics to identify trends and potential problem areas.

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Note: This tool provides approximate metrics for code analysis. Results may vary based on code structure and formatting. For complex projects, consider using specialized static analysis tools.