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Notes on Github API

It's actually super straightforward, I think it'd be possible to look at several high profile repos, scrape the most used, and then look at their bios

  • Might be better to use GithubArchive

    • Command to Get the Data for All of January 2015:

      `wget http://data.githubarchive.org/2015-01-{01..30}-{0..23}.json.gz`

  • http://githut.info/: Cool Website that has nice visualization of popularity of github projects

  • Visualization of Github Connections: http://graphub.yodas.com/ Github connections as a D3 graph. Find your GH Erdős number from other GH users by co-contributions

  • Better Explorer of Popular Github Projects: http://gitmostwanted.com/

  • Getting the JSON File as Table: df <- data.frame(matrix(unlist(users), nrow=330, byrow=T),stringsAsFactors=FALSE)