graalpython
truffleruby
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graalpython | truffleruby | |
---|---|---|
13 | 25 | |
1,110 | 2,963 | |
2.8% | 0.4% | |
10.0 | 9.9 | |
4 days ago | 4 days ago | |
Python | 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.
graalpython
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socketify.py - Bringing WebSockets, Http/Https High Peformance servers for PyPy3 and Python3
HPy integration to better support CPython, PyPy and GraalPython
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Oracle Contributing GraalVM Community Edition Java Code to OpenJDK
Here are some nice examples: https://www.graalvm.org/22.2/reference-manual/python/Interop...
This may be more readable: https://github.com/oracle/graalpython/blob/master/docs/user/...
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Pyjion – A Python JIT Compiler
Isn't this what the GraalVM [1] guys are also trying to do? Seems like today the competition is between who is more polyglot than the other, JVM, CLR or WASM.
[1] https://github.com/oracle/graalpython
- Python stands to lose its GIL, and gain a lot of speed
- GitHub - oracle/graalpython: A Python 3 implementation built on GraalVM
- A viable solution for Python concurrency
- RustPython: A Python interpreter written in Rust
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Stack Overflow Developer Survey 2021: "Rust reigns supreme as most loved. Python and Typescript are the languages developers want to work with most if they aren’t already doing so."
Graalpython is slowly taking shape, although it's still very alpha: https://github.com/oracle/graalpython
- Launch HN: Enso (YC S21) – Visual programming and workflow tool for data science
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AST based scripting languages
https://github.com/oracle/graalpython is an AST interpreter for Python
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 3.2’s YJIT is Production-Ready
Looks like it’s still a WIP
https://github.com/oracle/truffleruby/commits?author=eregon
- Implement Pattern Matching in TruffleRuby (GSoC)
- TruffleRuby – 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
What are some alternatives?
jython - Python for the Java Platform
JRuby - JRuby, an implementation of Ruby on the JVM
Cython - The most widely used Python to C compiler
artichoke - 💎 Artichoke is a Ruby made with Rust
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
ruby-packer - Packing your Ruby application into a single executable.
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
graaljs - A ECMAScript 2023 compliant JavaScript implementation built on GraalVM. With polyglot language interoperability support. Running Node.js applications!
hpy - HPy: a better API for Python
clj-kondo - Static analyzer and linter for Clojure code that sparks joy
RustPython - A Python Interpreter written in Rust
matrix.to - A simple stateless privacy-protecting URL redirecting service for Matrix