distribution
benchmarks
distribution | benchmarks | |
---|---|---|
6 | 40 | |
49 | 2,747 | |
- | - | |
2.6 | 7.2 | |
almost 4 years ago | 3 months ago | |
Ruby | Makefile | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
distribution
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Why are there so many Rails related posts here?
This is something that kind of annoys me; there's even a /r/rails sub-reddit specifically for Ruby on Rails stuff. Understandably Rails helped put Ruby on the map. Before Rails, Ruby was just another fringe language. Rails became massively popular, helped many startups quickly build their Web 2.0 sites, and become successful companies (ex: GitHub, LinkedIn, AirBnB, etc). Like others have said, "Rails is where the money is at". However, this posses a problem for the Ruby community: whenever Rails becomes less popular, so does Ruby. I wish the Ruby ecosystem wasn't so heavily centralized around Rails, and that we diversified our uses of Ruby a bit. There's of course Sinatra, dry-rb, Hanami, Dragon Ruby, SciRuby, and a dozen security tools written in Ruby such as Metasploit, BeFF, Arachni, and Ronin.
- anyone using rails in scientific applications?
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Two months into learning Ruby, it is the most beautiful language I ever learned
Welcome! Ruby isn't exactly "dying", but the hype/popularity is definitely fading. This is primarily because Ruby is no longer "new", most of Ruby's popularity came from Rails, and now Rails is no longer the "new hotness". However, Ruby still has lots of awesome features and lots of awesome other libraries and frameworks, such as the new fancy irb gem that uses reline, nokogiri, chunky_png, the async gems, Dragon Ruby, SciRuby, Ronin, and the new Hanami web framework.
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Ruby 3.2.0 Is from Another Dimension
http://sciruby.com is working towards lowering that barrier
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What’s Ruby used for most nowadays?
Ruby is mainly used in web app development because that's what makes money. However, Ruby is also used in Information Security (infosec) and there are a dozen or so Ruby security tools and libraries (metasploit, ronin, arachni, dnscat2, dradis). There's also SciRuby which aims to allow Ruby being used in the scientific/academic fields. You've probably heard/seen DragonRuby which is helping to popularize Ruby for simple game development. There's also a lot of interesting work happening around mruby and mruby-c (see mruby/c on Flipper Zero and mruby on DreamCast).
benchmarks
- Some Benchmarks of Different Languages
- Building a high performance JSON parser
- Top 5 Fastest Programming Languages
- Twitter (re)Releases Recommendation Algorithm on GitHub
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How green or energy efficient is the Go programming language?
GitHub - kostya/benchmarks: Some benchmarks of different languages
- how to benchmark a programming language
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Ruby 3.2.0 Is from Another Dimension
In all the language comparisons I've found over the years, Python consistently comes out slightly slower, for example:
https://github.com/kostya/benchmarks
Bearing in mind these are probably not even using YJIT, which makes Ruby considerably faster in some scenarios.
- I made a 88x88 version of the big display image command generator in Python! (will share github link if admins allow it)
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The original computer languages benchmark is back
Also, here is another benchmark: https://github.com/kostya/benchmarks
- Why does Scala seem to be slow at benchmark results?
What are some alternatives?
integration - Integration methods, based on original work by Beng
libuv - Cross-platform asynchronous I/O
publisci - A toolkit for publishing scientific results to the semantic web
lua-languages - Languages that compile to Lua
rb-gsl - Ruby interface to the GNU Scientific Library
julia - The Julia Programming Language
statsample - A suite for basic and advanced statistics on Ruby.
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
statsample-glm - Generalized Linear Models extension for Statsample
mypyc - Compile type annotated Python to fast C extensions
minimization - Minimization algorithms on pure Ruby
Cython - The most widely used Python to C compiler