Hi team, We've been discussing at several occasions of cleaning up our GitHub labels, and merging some. In order to guide the discussion of which labels to keep and to move, I've analysed a bit what where the labels we were using. Attached is a plot of the number of issues (including PRs) open and closed for each labels. Maybe we have too many labels? Most of them don't seem actively used. For example, py3k seem to be used 4 times, only on closed tickets/PR. I've done a similar analysis on scikit-image, scikit-learn and ipython. Some labels seem to be consistently used quite highly across all projects: the 3 difficulty levels, bug, ENH, DOC. I'm playing a bit with the github API this afternoon, so if any other statistics is useful, just let me know. Cheers, N