GitHub Developer Performance Analyzer

This script analyzes developer performance and calculates contribution scores for GitHub repositories.

Features

• Collects commit, pull request, and issue data from multiple repositories
• Calculates performance metrics for each developer (commit count, code churn, PR count, etc.)
• Computes a contribution score for each developer
• Outputs results to a CSV file

Requirements

• Python 3.6+
• Required Python packages: PyGithub, pandas, python-dotenv

Installation

1. Clone this repository:

   git clone https://github.com/dev-zipida-com/github-developer-performance-analyzer.git
   

2. Install the required packages:

   pip install -r requirements.txt
   

Usage

1. Create a .env file and set the following variables:

   GITHUB_ACCESS_TOKEN=your_github_access_token
   REPO_LIST=owner/repo1,owner/repo2
   START_DATE = 2023-07-01
   END_DATE = 2024-07-01
   FILEPATH=developer_performance.csv
   

2. Run the script:

   python main.py
   

3. Results will be saved in the specified CSV file.

Contribution Score Calculation

The contribution score is calculated considering the following factors:

• Commit count (30%)
• Code churn (20%)
• PR count (20%)
• Merged PR rate (15%)
• Issue closure rate (15%)

Each factor is normalized and converted to a score between 0-100.

Notes

• This tool uses quantitative metrics only and does not consider qualitative factors such as code quality or collaboration skills.
• Be mindful of GitHub API usage limits.
• Analysis of large repositories or long time periods may take considerable time to execute.