How to Monitor GitHub Repository Health Metrics with Python

GitHub repository health signals — issue response times, PR merge rates, contributor activity — reveal whether open source projects are thriving or dying. Here's how to build a monitor that tracks these metrics. Why Monitor Repo Health? Before depending on a library, you should know: Are issues being addressed? Are PRs reviewed? Is the project maintained by one person or a team? These signals predict whether you'll get stuck with an abandoned dependency. Setup pip install requests pandas Collecting Repository Metrics GitHub's API provides rich data. Here's a comprehensive collector: import requests import pandas as pd from datetime import datetime , timedelta class RepoHealthMonitor : def __init__ ( self , token = None ): self . base_url = " https://api.github.com " self . headers = { " Accept " : " application/vnd.github.v3+json " } if token : self . headers [ " Authorization " ] = f " token { token } " def get_repo_info ( self , owner , repo ): url = f " { self . base_url } /repos/ {