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If people aren't familiar, there's a similar project for Python that's fantastic: https://github.com/zappa/Zappa
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Ruby is a super fun scripting language. I much prefer it to python when I need something with a little more "ooomph" than bash. It's just...nice...to write in. Ruby performance has come a long way in the last decade as well. There's libraries for pretty much everything.
My modern programming toolkit is basically golang + ruby + bash and I am never left wanting.
I do find Crystal (https://crystal-lang.org/) really interesting and am hoping it has its own "ruby on rails" moment that helps the language reach a tipping point in popularity. All the beauty of ruby with all of the speed of Go (and then some, it often compares favorably to languages like rust in benchmarks).
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That looks similar to Chalice (also for Python)
https://github.com/aws/chalice
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I think that you're conflating correlation with causation. I think it's more plausible to assume it was the early numbers that are skewed and non-representative.
The fact that GitHub itself was is a killer app of the Ruby on Rails, and that the Rails project itself changed to being hosted on GitHub somewhat very early on it's history [1] had a disproportionate effect on the early community that gathered there.
Now GitHub attracts a much more diverse portfolio of projects, so the numbers you see there are less statistically biased towards early Ruby on Rails adopters.
[1] Commit history on the main branch of rails/rails via github goes as far as Apr 10, 2008 https://github.com/rails/rails/commit/c67e985994362290308073...
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
