The GitHub-map project have for objective to create the GitHub community map. Inspired form the internet-map, we are using the GitHub kaggle database to create a simple database. Based on this database, we will try to implement de the PageLinkRank Algorithme to place the nodes on the map.

• Here is an example of what the algorithm can do. A and B are two repositories whith 50 contributors each. Each user contribute with 1 commit :

• 26 repositories with 500 users and 100 links. The number of commits is randomly choose:

repos

users

repos_to_users

Create a Google API key to query the kaggle database.

Windows:

• Install pip python get-pip.py
• Install geckodriver.

Linux:

• Install pip sudo apt-get install python-pip
• Copy geckodriver to a sourced path sudo cp geckodriver /usr/local/bin/geckodriver

Install the dependencies :

sudo pip3 install google-api-python-client requests bs4 selenium sqlite3 mrjob matplotlib

• test folder : Only here as a sandbox. It is sometime usefull to try queries on the kaggle database before implementing.
• sample folder : Implementation of the final code with only 100 commits instead of 128 millions
• src folder : Implementation of the final code with every commits

Links with more than 100 commits