graalpython
hpy
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graalpython | hpy | |
---|---|---|
13 | 20 | |
1,110 | 1,005 | |
2.8% | 1.3% | |
10.0 | 8.2 | |
4 days ago | about 2 months ago | |
Python | Python | |
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.
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
hpy
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RustPython
There is a merge request up to add autogen rust bindings to hpy
https://github.com/hpyproject/hpy/pull/457
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Ruby 3.2’s YJIT is Production-Ready
Are you referencing https://github.com/hpyproject/hpy?
I do hope it takes off.
- HPy - A better C API for Python
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Codon: A high-performance Python compiler
The HPy project [0] seems like a promising way out of this.
[0] https://hpyproject.org/
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New record breaking for Python in TechEmPower
socketify.py breaks the record for Python no other Python WebFramework/Server as able to reach 6.2 mi requests per second before in TechEmPower Benchmarks, this puts Python at the same level of performance that Golang, Rust and C++ for web development, in fact Golang got 5.2 mi req/s in this same round. Almost every server or web framework tries to use JIT to boost the performance, but only socketify.py deliveries this level of performance, and even without JIT socketify.py is twice as fast any other web framework/server in active development, and still can be much more optimized using HPy (https://hpyproject.org/). Python will get even faster and faster in future!
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Is it time to leave Python behind? (My personal rant)
I think Propose a better messaging for Python is the option and a lot of languages will learn it from Rust, because rust erros are the best described errors I see in my life lol. Cargo is amazing and I think we will need a better poetry/pip for sure, HPy project will modernize extensions and packages 📦 too https://hpyproject.org/
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A Look on Python Web Performance at the end of 2022
It also show that PyPy3 will not magically boost your performance, you need to integrate in a manner that PyPy3 can optimize and delivery CPU performance, with a more complex example maybe it can help more. But why socketify is so much faster using PyPy3? The answer is CFFI, socketify did not use Cython for integration and cannot delivery the full performance on Python3, this will be solved with HPy.
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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
- HPy: A better C API for Python
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Your Data Fits in RAM
Absolutely everything in CPython is a PyObject, and that can’t be changed without breaking the C API. A PyObject contains (among other things) a type pointer, a reference count, and a data field; none of these things can be changed without (again) breaking the C API.
There have definitely been attempts to modernize; the HPy project (https://hpyproject.org/), for instance, moves towards a handle-oriented API that keeps implementation details private and thus enables certain optimizations.
What are some alternatives?
truffleruby - A high performance implementation of the Ruby programming language, built on GraalVM.
nogil - Multithreaded Python without the GIL
jython - Python for the Java Platform
py2js
Cython - The most widely used Python to C compiler
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
pgcopy - fast data loading with binary copy
RustPython - A Python Interpreter written in Rust
psycopg2cffi - Port to cffi with some speed improvements