This CSV file was created using Google interactive query interface BigQuery to access the Github Archive. The query used to generate this file is:
SELECT
repo.name,
COUNT(repo.name) AS total_events,
SUM(CASE WHEN type = 'CommitCommentEvent' THEN 1 ELSE 0 END) commit_comment_count,
SUM(CASE WHEN type = 'CreateEvent' THEN 1 ELSE 0 END) create_count,
SUM(CASE WHEN type = 'DeleteEvent' THEN 1 ELSE 0 END) delete_count,
SUM(CASE WHEN type = 'ForkEvent' THEN 1 ELSE 0 END) fork_count,
SUM(CASE WHEN type = 'GollumEvent' THEN 1 ELSE 0 END) gollum_count,
SUM(CASE WHEN type = 'IssueCommentEvent' THEN 1 ELSE 0 END) issue_comment_count,
SUM(CASE WHEN type = 'IssuesEvent' THEN 1 ELSE 0 END) issues_count,
SUM(CASE WHEN type = 'MemberEvent' THEN 1 ELSE 0 END) member_count,
SUM(CASE WHEN type = 'PublicEvent' THEN 1 ELSE 0 END) public_count,
SUM(CASE WHEN type = 'PullRequestEvent' THEN 1 ELSE 0 END) pull_request_count,
SUM(CASE WHEN type = 'PullRequestReviewCommentEvent' THEN 1 ELSE 0 END) pull_request_review_comment_count,
SUM(CASE WHEN type = 'PushEvent' THEN 1 ELSE 0 END) push_count,
SUM(CASE WHEN type = 'ReleaseEvent' THEN 1 ELSE 0 END) release_count,
SUM(CASE WHEN type = 'WatchEvent' THEN 1 ELSE 0 END) watch_count,
FROM (TABLE_DATE_RANGE([githubarchive:day.events_], TIMESTAMP('2015-01-01'), TIMESTAMP('2015-06-30') ))
GROUP BY
repo.name
ORDER BY
total_events DESC
LIMIT
100;