riker VS Github-Ranking

I remember a crate called riker that did distribute actors but it looks like it's abandoned unfortunately.

However, this isn't even 50% of what's out there: Need raw parallel power (and maybe don't need an async runtime)? Checkout Rayon. Need simple Actors for concurrent processing? Checkout Actix. Need a larger Actor system for fault tolerance/CQRS messaging? Checkout Riker. Damn, I sound like a youtube advert 🤦 - For real though, this is the tip of the concurrency iceberg. There is so much more - and it's growing.

5th highest number of stars of any repo on GitHub 🙃

This explains the uneven distribution of Haskell applications, but this does not explain why the distribution is more even in other languages. But is that even the case? You mention Python, and Python happens to be THE language of choice for data science projects, so I would expect to also see an uneven distribution there. And Java happens to be THE language of choice for writing Android applications, so I would expect an uneven distribution there too. And Rust is a systems programming language, so I would expect games and other things that really need to run fast. Let's look at lists of popular projects by language:

The repo I chose was Github-Ranking, a repo to check the most starred and forked GitHub repos of the day. The link can be found here: https://github.com/EvanLi/Github-Ranking. I picked this repo because I've never explored the most popular repos before and this allowed me to see what a lot of people are working on.

Clocking in at 190K Github stars React's github ranking is easily ranked in the top 10.

Here's a few other tools that are written in Perl, sorted by GitHub popularity: https://github.com/EvanLi/Github-Ranking/blob/master/Top100/...

Actually, that repo has lists like this for most languages: https://github.com/EvanLi/Github-Ranking