In my study, I present the mining, collection and analysis of GitHub projects data in an endeavor to understand how the activity and engagement on the different projects has been before and during the Covid-19 pandemic.  Data was collected from 20 repositories via Github API.  I eventually applied some statistical analysis of the data, applied the ANOVA tests measuring the p-values to understand the level of variance pre and during the Covid-19 pandemic.  Open-Source software have been used since long before and my study seeks to explore the magnitude to which Open-Source software participation on different projects has been affected by the different work environments that the users have become accustomed to lately.  Open-Source software has been under study previously by different authors ie on the participation of users etc.  No study has yet been done on the impact a global pandemic has on the engagement on Open-Source platform on different projects, analysing the trends of participation along the project’s life cycle pre and during the covid-19 pandemic.  In these unpredictable, interesting times the study is aimed at highlighting how Open-Source engagement has been behaving by looking at the trends, patterns of engagement, the decrease or increase of activity in certain projects.  From the results I realise trends and patterns in some projects and also interesting insights in the Github OS project lifecycles.  The findings of my study pointed to how participation and engagement on GitHub Open-Source increased During the Pandemic more than During the Pandemic and this is evidenced by 70% of all the 20 repositories I took under investigation. / <p>The presentation was held via Zoom </p>