This repository contains Python scripts for analyzing GitHub user data, including following relationships and starred repositories.

1. github_following.py: Fetches and analyzes following relationships for a given GitHub user.
2. github_stars.py: Analyzes starred repositories of top GitHub users.

1. Clone the repository:

   git clone https://github.com/tom_doerr/trending_custom.git
   cd trending_custom
   

2. Install the required dependencies:

   pip install requests tqdm
   

3. Create a config.json file in the root directory with the following content:

   {
       "count": 5,
       "github_token": "your_github_token_here"
   }

   Replace your_github_token_here with your actual GitHub Personal Access Token.

This script fetches the accounts followed by a specified GitHub user and writes the data to a CSV file.

python github_following.py <username> [--count <number>]

• <username>: The GitHub username to analyze
• --count: (Optional) Number of following accounts to fetch (default: 100)

Example:

python github_following.py octocat --count 50

This script analyzes the starred repositories of top GitHub users and creates a ranking.

python github_stars.py [--top-accounts <number>] [--top-repos <number>]

• --top-accounts: (Optional) Number of top accounts to consider (default: 100)
• --top-repos: (Optional) Number of top repositories to display (default: 40)

Example:

python github_stars.py --top-accounts 200 --top-repos 50

• github_following.py generates a github_following.csv file with following data.
• github_stars.py displays a ranking of repositories in the console.

This project is licensed under the MIT License - see the LICENSE file for details.

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

This tool is for educational purposes only. Make sure to comply with GitHub's terms of service and API usage limits when using these scripts.

This project analyzes the starred repositories of top GitHub users to identify trending and popular repositories.

• Fetches starred repositories of top GitHub users
• Ranks repositories based on their popularity among these users
• Filters out ignored repositories
• Displays a dynamic ranking as it processes each account
• Shows a final ranking of the most popular repositories

• Python 3.6+
• Required Python packages (install using pip install -r requirements.txt):
  • requests
  • tqdm
  • colorama
  • python-dotenv

1. Clone this repository:

   git clone https://github.com/yourusername/github-stars-analysis.git
   cd github-stars-analysis
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Create a .env file in the project root and add your GitHub token:

   GITHUB_TOKEN=your_github_token_here
   

4. (Optional) Create an ignored_repos.txt file to list repositories you want to ignore:

   # List of repositories to ignore
   # Add one repository per line in the format "owner/repo"
   owner1/repo1
   owner2/repo2
   

Run the script with:

python github_stars.py

Optional arguments:

• --top-accounts: Number of top accounts to consider (default: 100)
• --top-repos: Number of top repositories to display (default: 50)
• --final-ranking: Number of items to show in the final ranking (default: 50)

Example:

python github_stars.py --top-accounts 200 --top-repos 100 --final-ranking 75

• config.json: Contains the number of stars to fetch per user
• .env: Stores your GitHub token
• ignored_repos.txt: List of repositories to ignore in the analysis

The script will display:

1. A progress bar showing the processing of accounts
2. A dynamic ranking after processing each account
3. A final ranking of the most popular repositories

Each repository in the ranking will show:

• Its rank
• The repository name
• The number of accounts that starred it
• The usernames of those accounts
• The repository URL

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

This project is open source and available under the MIT License.