PyData ATL Lightning Talk

https://www.github.com/wdm0006/git-pandas

Transcript

1. Analyzing Git/ Github data with git-pandas (or: vanity metrics at scale)
2. Who am I? • Will McGinnis • Write code at Predikto (we’re hiring) • www.predikto.com • twitter.com/willmcginnis • github.com/wdm0006
3. What is git-pandas? • Open source library: https://github.com/wdm0006/git-pandas • Represents git data as pandas dataframes • Abstracts groups of repos into an object called a ProjectDirectory • Does some common analysis tasks for you
4. Org-wide Punchcards
5. Cumulative Blame
6. Estimate Code Quality • “file owner” • metric for refactors • how long will an owner’s file go without being refactored?
7. GitNOC
10. Other things • Bus factors (for files, repos and orgs) • Development time estimation • Rate of change metrics (risk) • Basic datasets (commit history, file changes, branches, tags, etc.) • File owners • File details • and more: https://github.com/wdm0006/git- pandas