Pyjion
python-builddsl
Our great sponsors
Pyjion | python-builddsl | |
---|---|---|
23 | 1 | |
1,398 | 2 | |
- | - | |
6.4 | 2.3 | |
about 2 months ago | 11 months ago | |
C++ | Python | |
MIT License | 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.
Pyjion
-
Python 3.13 Gets a JIT
It exists, was created by microsoft employees, and is referenced in the article: https://www.trypyjion.com/
-
Is anyone using PyPy for real work?
I've actually come across and started using Pyjion recently (https://github.com/tonybaloney/pyjion); how does Pypy compare, both in terms of performance and purpose? There seems to be a lot of overlap...
-
funAndEasyToUse
Python is capable of doing things at runtime that are really hard to statically compile around, such as monkeypatching methods onto existing objects. You can compile it, but it's complicated. One strategy is to use a JIT that can observe application state at runtime and then invalidate code as it becomes obsoleted by changes, but it's complicated. See pyjion for an example.
-
How is Golang websocket better than FastAPI websocket?
and if you need more speed you can try https://www.pypy.org/ or https://github.com/tonybaloney/Pyjion or https://www.pyston.org/
-
CPython vs PyPy
Finally, there is also Pyjion which based on its website is “A drop-in JIT Compiler for Python 3.10” (https://www.trypyjion.com/). We will be covering it on a separate writeup. See you next time ;-).
- Accelerate Python code 100x by import taichi as ti
- Create CPython extensions in .NET?
-
You think python is slow ?
Pyjion Easy to use, small compiler. Increase performance of our 🐌 CPython.
-
Why doesn't CPython use a JIT?
Pyjion (and in particular its README) are worth a read for existing options.
-
High Performance subset of python
https://github.com/tonybaloney/Pyjion Seems pretty cool
python-builddsl
-
What would you want to see in Python?
I've been experimenting with Multiline anonymous functions in a Python DSL. For the curious: https://github.com/craftr-build/craftr-dsl
What are some alternatives?
Numba - NumPy aware dynamic Python compiler using LLVM
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
graalpython - A Python 3 implementation built on GraalVM
Cython - The most widely used Python to C compiler
hpy - HPy: a better API for Python
falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
ideas
Pyjion
Pyston - A faster and highly-compatible implementation of the Python programming language.
Python Cheatsheet - All-inclusive Python cheatsheet
django-business-logic - Visual DSL framework for django