Numba VS Cython
Compare Numba VS Cython and see what are their differences
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Numba
cx_Freeze
PyInstaller
nuitka
PyPy
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py2exe
NumPy
Cython
PyInstaller
nuitka
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PyPy
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Numba| Categories |
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|---|---|
| Website | numba.pydata.org |
| Details $ |
Cython| Categories |
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| Website | cython.org |
| Details $ |
Based on our record, Numba should be more popular than Cython. It has been mentiond 92 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I believe it is using Numba which converts to machine code. https://numba.pydata.org/. - Source: Hacker News / about 1 month ago
Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code. - Source: dev.to / 7 months ago
Or you use numba [1]. Then you can use a subset of plain Python. [1] https://numba.pydata.org/. - Source: Hacker News / 7 months ago
Simulations are, at least in my experience, numba’s [0] wheelhouse. [0]: https://numba.pydata.org/. - Source: Hacker News / 9 months ago
That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees. Source: 9 months ago
Https://cython.org can help with that. - Source: Hacker News / 9 days ago
The approach that I favour is to use Cython. The nice thing with this approach is that your code is still written as (almost) Python, but so long as you define all required types correctly it will automatically create the C extension for you. Early versions of Cython required using Cython specific typing (Python didn't have type hints when Cython was created), but it can now use Python's type hints. Source: 10 months ago
Just for reference, * Nuitka[0] "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." * Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles. * Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... Makes writing C... - Source: Hacker News / 12 months ago
Profile and optimize the hotspots with cython (or whatever the cool kids are using these days... It's been a while.). Source: about 1 year ago
JIT essentially means generating machine code for the language on the fly, either during loading of the interpreter (method JIT), or by profiling and optimizing hotspots (tracing JIT). The language itself can be statically or dynamically typed. You could also compile a dynamic language ahead of time, for example, cython. Source: about 1 year ago
cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...
PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...
nuitka - Nuitka is a Python compiler.
PyPy - PyPy is a fast, compliant alternative implementation of the Python language (2.7.1).
bbfreeze - create stand-alone executables from python scripts
py2exe - A distutils extension to create standalone Windows programs from Python scripts.