Pyjion
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Pyjion
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Pyjion | Pyjion | |
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4 | 23 | |
1,439 | 1,398 | |
- | - | |
4.0 | 6.4 | |
over 3 years ago | about 2 months ago | |
C++ | C++ | |
- | 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
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Pyjion, a drop-in JIT compiler for Python 3.10 is now v1.0
Looks like it was started at Microsoft, the tonybaloney/Pyjion was forked from microsoft/Pyjion.
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Why Python 4.0 might never arrive, according to its creator
Pyjion is a Microsoft project that adds a JIT leveraging CoreCLR.
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Pyston v2.2: faster and open source
https://github.com/microsoft/Pyjion was a really nice attempt to marry CPython with JIT in a rather generic way, but it was abandoned quickly.
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Cinder: Instagram's performance oriented fork of CPython
There are articles like https://instagram-engineering.com/dismissing-python-garbage-... which seem to confirm some problems. One of the people involved with this Cinder project was an original author of https://github.com/microsoft/Pyjion (it's now being revamped by a new dev.) Dino had deep .NET/CLR implementation experience and had been the lead for IronPython which I think spawned the interest in perf improvements through Cinder. I hope this effort is more successful for him.
Pyjion
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Python 3.13 Gets a JIT
It exists, was created by microsoft employees, and is referenced in the article: https://www.trypyjion.com/
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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...
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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.
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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/
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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?
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You think python is slow ?
Pyjion Easy to use, small compiler. Increase performance of our 🐌 CPython.
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Why doesn't CPython use a JIT?
Pyjion (and in particular its README) are worth a read for existing options.
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High Performance subset of python
https://github.com/tonybaloney/Pyjion Seems pretty cool
What are some alternatives?
PyPy
Numba - NumPy aware dynamic Python compiler using LLVM
Cython - The most widely used Python to C compiler
Pyston - A faster and highly-compatible implementation of the Python programming language.
Stackless Python
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.
PeachPy - x86-64 assembler embedded in Python
pypy - The unofficial GitHub mirror of PyPy (mirrored via https://github.com/mozillazg/job-mirror-hg-repos)
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
graalpython - A Python 3 implementation built on GraalVM
pipx - Install and Run Python Applications in Isolated Environments