CS3012 project
Interrogates the Github API to obtain data about the top 50 repositories for 9 languages by number of stars. C# code and Octokit.net used to search, request and process data from Github. HTML files contain scripts using D3.js to visualise the data as graphs.
The information gathered is used to try and visualise the difference in the size of the average project in a given language, and the average number of issues that are open at a given point in time for those languages. This information can tell us about the potential results of selecting a certain programming language for a software engineering task. Additionally, the average number of forks is shown. This information can be used to compare which languages generate the most interest from other developers, which could give a rough comparison of the willingness of others to contribute to an opensource project.