GitHub User Repositories Line of Code Counter

This bash script takes a GitHub username, downloads all the public repositories of that user, and then uses the cloc and jq tools to count the lines of code the user has written for each programming language.

Requirements

To run this script, you need to have the following installed:

1. bash
2. jq: A JSON query tool, very useful for working with JSON data.
3. cloc: A tool to count lines of code.

Usage

1. Clone this repository or copy the script to your local machine.
2. Open the script in a text editor and replace the USERNAME variable with your GitHub username.
3. Save the changes and close the editor.
4. Open a terminal and navigate to the directory where the script is located.
5. Make the script executable by running:

   chmod +x script_name.sh

6. Run the script:

   ./script_name.sh

7. The script will create a directory with your GitHub username, clone all your public repositories into that directory, and generate a result.csv file with the lines of code statistics.

Example Output

Here is an example of what the result.csv file might look like:

language	files	line of code
C++	116	11651
C/C++ Header	57	4154
CMake	2	65
C#	113	10569
Python	117	8190
Jupyter Notebook	7	4005
JavaScript	51	15639
TypeScript	47	1986
JSX	40	1655
CSS	71	9902
HTML	56	7699
Java	70	9822
Swift	120	11055
Markdown	45	6099
XML	80	4088
Sass	15	2703
XAML	19	2381
YAML	2	121
Bash	4	83
Assembly	1	54
JSON	36	69186
SQL	47	33327
CSV	20	9943

Script

#!/bin/bash

# GitHub username
# NOTE: change this to be your username on GitHub
USERNAME="dattali18"

# Create a directory to store the cloned repositories
mkdir -p $USERNAME
cd $USERNAME

# Get all repositories for the user
REPOS=$(curl -s "https://api.github.com/users/$USERNAME/repos?per_page=100" | jq -r '.[].clone_url')

# Clone each repository
for REPO in $REPOS; do
    git clone $REPO
done

# Run cloc on all repositories and save the results to result.csv
cloc . --csv --out=result.csv

echo "Lines of code and programming languages statistics saved to result.csv"