Yes. See many past conversations on why Github Issues become unmanageable.
Labels help to segment, but aren't enough.
I find the number of 'open' issues a demotivator (bordering on depressing) for my projects, or when I look to work on others; even if most aren't issues but support questions/feature requests/on hold. If not triaged well, digging through to find the real bugs takes effort.
Github tried with 'Projects' but I haven't seen many (any?) projects using them successfully. For individual workflows they seem to work well. Big projects have fallen back on milestones.
We have a new RFC repos to brings a bit more sanity to the bug tracker: https://github.com/nim-lang/RFCs/issues
And in my opinion it is not like that, see my comment on the top level.
However, some of those are subjective opinions: a lot of people do see it as pythonic in syntax, even not if pythonic in other decisions. It is cross compilable and fast and one can write readable macros and create readable DSL-s with it.
All other similar languages have even bigger issue counts: this is a shallow metric to base a conclusion on.