ccloc 0.1.5

Just Count Total Line Of Code

ccloc - Count Lines of Code

A simple and fast CLI tool to count lines of code in your projects, built with Python and managed by uv.

Features

• 📊 Count lines of code by file extension/language
• 🎯 Filter by specific file extensions
• 🚫 Exclude directories and files
• 📈 Beautiful table output with Rich
• 📄 Multiple output formats (table, JSON, CSV)
• ⚡ Fast and efficient
• 🎨 Automatic comment and blank line detection

Installation

Using uv (recommended)

uv pip install ccloc

Using pip

pip install ccloc

From source

git clone https://github.com/chuongmep/ccloc.git
cd ccloc
uv sync

Usage

Basic usage

Show usage/help (default when no arguments):

ccloc

Count lines in the current directory:

ccloc .

Count lines in a specific directory:

ccloc /path/to/project

Filter by file extensions

Count only Python files:

ccloc --extensions .py
# or
ccloc -e .py

Count Python and JavaScript files:

ccloc -e .py -e .js -e .ts

Exclude directories

Exclude specific directories (by default excludes: .git, .venv, node_modules, __pycache__):

ccloc -x build -x dist

Output formats

Table format (default):

ccloc .

JSON format:

ccloc --format json
# or
ccloc -f json

CSV format:

ccloc -f csv > output.csv

Recursive scanning

By default, the tool recursively scans all subdirectories. You can disable this:

# Scan only top-level directory
ccloc --no-recursive

# Scan only top-level Python files
ccloc --no-recursive -e .py

Combined examples

Count Python and JavaScript files, excluding tests:

ccloc -e .py -e .js -x tests -x __tests__

Scan only current directory without recursion:

ccloc . --no-recursive

Count all code in a project with JSON output:

ccloc /path/to/project -f json

Output

The tool provides detailed statistics:

• Files: Number of files for each language/extension
• Lines: Total lines in files
• Blank: Blank lines
• Comment: Comment lines
• Code: Actual code lines (Lines - Blank - Comment)

Example output:

                       Lines of Code                        
┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┓
┃ Language/Extension ┃ Files ┃ Lines ┃ Blank ┃ Comment ┃  Code ┃
┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━┩
│ .py                │     5 │  1234 │   123 │     111 │  1000 │
│ .js                │     3 │   567 │    45 │      66 │   456 │
├────────────────────┼───────┼───────┼───────┼─────────┼───────┤
│ TOTAL              │     8 │  1801 │   168 │     177 │  1456 │
└────────────────────┴───────┴───────┴───────┴─────────┴───────┘

Development

This project uses uv for dependency management.

Setup development environment

# Clone the repository
git clone https://github.com/chuongmep/ccloc.git
cd ccloc

# Install dependencies
uv sync

# Run the tool in development mode
uv run ccloc

Run tests

uv run pytest

Build package

uv build

Supported Languages

The tool automatically detects comments for:

• Python (.py)
• JavaScript/TypeScript (.js, .ts)
• Java (.java)
• C/C++ (.c, .cpp)
• C# (.cs)
• Go (.go)
• Rust (.rs)
• PHP (.php)
• Ruby (.rb)
• Shell scripts (.sh)
• YAML (.yaml, .yml)

And many more! Files with any extension can be counted.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details

Author

Chuong Ho - [e-mail]