truffleruby
rbs
truffleruby | rbs | |
---|---|---|
25 | 20 | |
2,963 | 1,875 | |
0.1% | 0.5% | |
9.9 | 9.7 | |
4 days ago | 6 days ago | |
Ruby | Ruby | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
truffleruby
- TruffleRuby 24.0.0
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Mir: Strongly typed IR to implement fast and lightweight interpreters and JITs
I think it would be worth mentioning GraalVM and https://github.com/oracle/truffleruby in competitors section.
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GraalVM for JDK 21 is here
GitHub page has some info: https://github.com/oracle/truffleruby#current-status
My question is, how viable is TruffleRuby vs JRuby?
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Making Python 100x faster with less than 100 lines of Rust
I wonder why GraalVM is not more often used for these speed critical cases: https://www.graalvm.org/python/
Is the problem the Oracle involvement? (Same for ruby https://www.graalvm.org/ruby/)
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Ruby 3.2βs YJIT is Production-Ready
Looks like itβs still a WIP
https://github.com/oracle/truffleruby/commits?author=eregon
- Implement Pattern Matching in TruffleRuby (GSoC)
- TruffleRuby β GraalVM Community Edition 22.2.0
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Modern programming languages require generics
this comes at the cost of boxing ints inside Integer, though.
So, if you ignore for a moment primitives types, whenever you have generics, everything boils down to a single method accepting Objects and returning Objects. What the JVM does is to do runtime profiling of what actually you are passing to the generic method, and generate optimized routines for the "best case". In theory this is the best of the two worlds, because like in general you will have a single implementation of the method (avoiding duplication of the code), but if you use it in an hot spot you get the optimized code.
In a way, it is quite wasteful, because you throw away a lot of information at compile time, just to get it back (and maybe not all of it) at runtime through profiling, but in practice it works quite well.
A side effect of this is this makes the JVM a wonderful VM for running dynamic languages like Ruby and Python, because that information is _not_ there at compile time. In particular GraalVM/TruffleVM and exposes this functionality to dynamic language implementations, allowing very good performance (according to they website [1][2], Ruby and Python on TruffleVM are about 8x faster than the official implementation, and JS in line with V8)
[1] https://www.graalvm.org/ruby/
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GraalVM 22.1: Developer experience improvements, Apple Silicon builds, and more
I opened a ticket some time ago about performance with Jekyll and liquid templates. At least in that case, yjit was way faster. I'm happy to retest though. Anything that would make my jekyll builds faster would help.
https://github.com/oracle/truffleruby/issues/2363
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Ruby YJIT Ported to Rust
Here's a benchmark [1] done in Jan'22 against many ruby implementations, truffleRuby [2] seems to be way ahead in most, and at least ahead in all. Why truffleRuby isn't talk about much here?
[1] https://eregon.me/blog/2022/01/06/benchmarking-cruby-mjit-yj...
[2] https://github.com/oracle/truffleruby
rbs
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A decent VS Code and Ruby on Rails setup
I saw no mention of RBS+Steep, the latter providing a LSP. I use it a lot and very much like it, although it's still young and needs love, but it's making good, steady progress! I've been very pleasantly surprised by some of the crazy things Steep can catch, completely statically!
You appear to be working on projects with Sorbet (which I tried to like but found it fell short in practice, notably outside of the app use case i.e it's mostly useless for gems) so it may be a tall order to try on those. Maybe you can give RBS+Steep a shot on some small project?
RBS: https://github.com/ruby/rbs
RBS collection (for those gems that don't ship RBS signatures in `sig`, integrates with bundler): https://github.com/ruby/gem_rbs_collection
Steep: https://github.com/soutaro/steep
VS Code: https://github.com/soutaro/steep-vscode
Sublime Text: https://github.com/sublimelsp/LSP
Vim (I'm working on it): https://github.com/dense-analysis/ale/pull/4671
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What it was like working for Gitlab
I don't know what you mean by "Static typing is not webscale".
> https://news.ycombinator.com/item?id=39159481
Bugs exist in all code written in all programming languages and you will find bugs in programs written in statically typed languages too as you know. Programming languages are rarely chosen for the absense of bugs alone though or we'd all be using SPARK Ada or something.
> spitting out code as fast as your keyboard works, or is is not having features do weirdo things
This is a straw man. No-one has suggested that "spitting out code as fast as your keyboard works" is what Rails allows you to do, or that Ruby code results in features that "do weirdo things".
In reality engineer productivity is important and Rails enables it in a web environment.
> I have more than once tried to contribute fixes to GitLab's codebase, and every time I open the thing in RubyMine it hurpdurps having no earthly idea where symbols come from or what completions are legal in any given context.
Yes, I prefer writing statically typed languages and I would /greatly/ prefer Ruby to be statically typed for a number of reasons, but it will likely never be so in a way I consider to be usable (see https://github.com/ruby/rbs). Not being able to definitively tell what a method returns or where one is defined is a total PITA, but it's one of the array of up and downsides to Ruby, with each language having a different set.
> I trust JetBrains analysis deeply, so if they can't deduce what's going on, then it must take an impressive amount of glucose to memorize every single surface area one needs to implement a feature.
You don't need to know how all of Rails works to write a Rails app, as I'm sure you know, so this seems like another mis-representation of the truth, just as you don't need to know how the compiler or CPUs work to do a lot of (most?) programming.
> That or, hear me out, maybe "it works on my machine" is a close to correct as the language is going to get without explicit type hints as a pseudo static typing
You seem to be suggesting that Ruby on Rails applications behave unpredictably on a machine to machine basis but that's not really how Ruby works in practice, or matching on my experience.
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InfoQ Interview: Rich Kilmer on the Power of Ruby
Are you familiar with rbs (https://github.com/ruby/rbs)? If so, what issues do you see with using that over TypeScript?
- Building GitHub with Ruby on Rails
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Ruby 3.2βs YJIT is Production-Ready
Ruby does have optional type annotations, if you want them:
https://github.com/ruby/rbs
- Crystal for Rubyists
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Is anyone using RBS?
Is anyone using RBS? Or, is it still half-baked? I haven't seen any recent posts about it this year. Though, I see the repo has some recent activity.
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RBS introduced manifest.yaml
Currently rbs collection resolves stdlib dependencies, but rbs -r LIB option doesn't resolve them unfortunately. For instance, logger depends on monitor, but rbs -r logger doesn't load monitor.
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Catching up on things
Here is link number 1 - Previous text "RBS"
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The future of rbs collection
Partial clone reduces the impact, but it just procrastinates the problems.
What are some alternatives?
JRuby - JRuby, an implementation of Ruby on the JVM
dry-validation - Validation library with type-safe schemas and rules
artichoke - π Artichoke is a Ruby made with Rust
sorbet - A fast, powerful type checker designed for Ruby
graalpython - A Python 3 implementation built on GraalVM
steep - Static type checker for Ruby
ruby-packer - Packing your Ruby application into a single executable.
typeprof - An experimental type-level Ruby interpreter for testing and understanding Ruby code
graaljs - A ECMAScript 2023 compliant JavaScript implementation built on GraalVM. With polyglot language interoperability support. Running Node.js applications!
rubygems - Library packaging and distribution for Ruby.
clj-kondo - Static analyzer and linter for Clojure code that sparks joy
Ruby on Rails - Ruby on Rails