logic
hpy
logic | hpy | |
---|---|---|
7 | 20 | |
83 | 1,008 | |
- | 0.7% | |
8.9 | 8.2 | |
about 1 month ago | about 2 months ago | |
Rust | Python | |
GNU General Public License v3.0 only | 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.
logic
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The Rust I wanted had no future
I've just been browsing, eg., https://github.com/robot-rumble/logic/blob/master/lang-runne...
Have a look at real-world rust repos that are more than simple application code.
Personally, I feel like I'm being visually assaulted.
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[Showoff Saturday] I finally finished a 2-year-in-the-making arena-style AI competition platform! ๐ Uses Elm, Scala, Rust, and WASM
Any and all feedback is much appreciated! Every bit of our code is in our Github org. This repo has our robot execution code. If you have any thoughts on the site, the code, or you want to contribute in any other way, please reach out! Thank you! :)
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I made a FOSS arena-based battle AI website
Battle runner code: github.com/robot-rumble/logic/
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Robot Rumble: a FOSS RobotGame-inspired arena-based AI competition site
The site is robotrumble.org/. My email is [[email protected]](mailto:[email protected]). Every bit of our code is in our Github org. This repo has our robot execution code. If you have any thoughts on the site, the code, or you want to contribute in any other way, please reach out!
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My first project to see production! Robot Rumble, an arena-style AI battle game for teams of Python-based robots
The data model is actually lives inside of our logic runner, which is in Rust, and yes the model is re-implemented in Elm as well. This logic layer simulates the battles and executes user code. Python comes in as being one of the two interpreters that the logic layer uses to execute arbitrary user (Python) code, using a Rust-based Python interpreter called RustPython. We've got a bit more details in our README here.
- Robot Rumble - an arena-style AI battle game implemented using Rust and WebAssembly
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RustPython/RustPython A Python-3 (CPython >= 3.8.0) Interpreter written in Rust
I consider wasm/wasi support to be the main selling point of RustPython at the moment; I'm working on a project with a friend that utilizes wasm/RustPython for sandboxing user code written in Python and JavaScript (https://robotrumble.org, https://github.com/robot-rumble/logic)
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 3.2โs 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 ๐ฆ 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 canโt 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?
RustPython - A Python Interpreter written in Rust
nogil - Multithreaded Python without the GIL
battle-viewer - Battle-viewer is responsible for all of the dynamic frontend bits of the site
graalpython - A Python 3 implementation built on GraalVM
inko - A language for building concurrent software with confidence
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
aichallenge - The source code that drives the AI Challenge
py2js
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
pgcopy - fast data loading with binary copy
psycopg2cffi - Port to cffi with some speed improvements
semgrep - Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.