So I'm looking at the michiya/django-pyodbc-azure repository. It's a great project, but it seems to be unmaintained. There are lots of forks of the project, and I'm not sure which one to follow. The nice thing about github is that it makes it easy to find the repository that serves a particular purpose, and it also makes it easy to combine efforts contributing to this repository which is common to everyone. But this idea seems to fall apart when a project is unmaintained and forks just spiral with nobody benefiting from combining efforts with anybody else. What's the solution?
Edit: I just filed an issue and mentioned all the people who submitted recent issues, PRs, forks. It was a pain to gather all the names manually and type them up, I'm sure I missed a lot of good names who would have contributed, and I may have mis-typed some names
Edit: Just found this article from 2011 which discusses the same issue in my question. While I replied to one of the comments, I got the idea of using Machine Learning to sort forks by usefulness:
"True. With all the Machine Learning buzz these days, I wish there was a "github-forks-helper.net" that was powered by some trained ML network that trained on all github forks identifying which ones ended in upstream. It would then sort unmerged forks by likeliness of ending upstream"
Posted this datascience.stackexchange.com question to gather some thoughts about ML to help with sorting these forks
