GitHub is the home of Open Source software. Not only that, but both individuals and companies host their private code there. It started out as a hosted git solution, but it has evolved way beyond that. You can now track issues, keep wikis, host web pages, run tests for every commit and more.
While collaboration is indeed easy, I feel that GitHub lacks some of the features that are basic with dedicated issue trackers, like Bugzilla, JIRA and others. With GitHub, it's hard to keep track of lagging issues. Pull requests get forgotten all the time. Getting a quick overview of what are the most active issues is not trivial. If you want to make sure the issues are fairly distributed across team members in order to avoid burnout, good luck. There's also no built-in way of specifying issue dependencies.
The good news is that there are possible workarounds - for example, we can simulate issues dependencies with issue mentions. For other shortcomings, there are no workarounds using just GitHub's UI. Fortunately, there is also an API which provides us with tons of data. Using it, we can start to address whatever shortcomings we feel GitHub has for our use cases - want to get a list of all the pull requests that can't be merged? Write a filter. Are you curious what bug is burning your users the most? Aggregate some counts.
You get the idea: all the data is there. You just have to use it.
Trying to solve this problem of getting more insights than GitHub's UI provides, started working on a tool called Elasticboard. It provides a data-rich dashboard that helps you keep track of a GitHub repository, addressing most of the shortcomings described above. The code is hosted on GitHub, of course, and you are welcome to check out one of the demo dashboards.
Such a tool is helpful both to repo collaborators and new contributors. The repo collabs can keep track of what's going on and make sure that no issues slip through the cracks, while new contributors have their life made easier because now they can tell which of two issues is more important (there was more activity surrounding it), what issues are not assigned to anybody and so on.
Try Elasticboard out, add a repository that interests you in the hosted demo dashboard. It will only include recent events, because of GitHub's API limitations, but I think it's enough to get the idea. If the demo sparked your interest, deploying your own instance is easy - you can use the provided Docker container, or even serve it yourself. Either way, the README has all the info you need.
If you feel like exploring the available data, I suggest you use Kibana and the Elasticsearch GitHub river. I wrote a short guide about it here.
The code is fully open source and it's designed to be extensible, making it easy to add new queries and data visualisations. If you are interested in contributing, again, the README will help you get started.