nanobind
blog
| nanobind | blog | |
|---|---|---|
| 11 | 12 | |
| 2,042 | 256 | |
| - | - | |
| 9.6 | 4.4 | |
| 3 days ago | about 1 year ago | |
| C++ | ||
| BSD 3-clause "New" or "Revised" License | - |
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nanobind
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Progress on No-GIL CPython
Take a look at https://github.com/wjakob/nanobind
> More concretely, benchmarks show up to ~4× faster compile time, ~5× smaller binaries, and ~10× lower runtime overheads compared to pybind11.
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Advanced Python Mastery – A Course by David Beazley
People should not take that an endorsement of Swig.
Please use ctypes, cffi or https://github.com/wjakob/nanobind
Beazley himself is amazed that it (Swig) is still in use.
- Swig – Connect C/C++ programs with high-level programming languages
- Nanobind: Tiny and efficient C++/Python bindings
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Create Python bindings for my C++ code with PyBind11
Nanobind made by the creator of PyBind11, it has a similar interface, but it takes leverage of C++17 and it aims to have more efficient bindings in space and speed.
- Nanobind – Seamless operability between C++17 and Python
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Cython Is 20
I would recommend using NanoBind, the follow up of PyBind11 by the same author (Wensel Jakob), and move as much performance critical code to C or C++. https://github.com/wjakob/nanobind
If you really care about performance called from Python, consider something like NVIDIA Warp (Preview). Warp jits and runs your code on CUDA or CPU. Although Warp targets physics simulation, geometry processing, and procedural animation, it can be used for other tasks as well. https://github.com/NVIDIA/warp
Jax is another option, by Google, jitting and vectorizing code for TPU, GPU or CPU. https://github.com/google/jax
- GitHub - wjakob/nanobind: nanobind — Seamless operability between C++17 and Python
blog
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Advanced Python Mastery – A Course by David Beazley
I’ve just fund one. Shortening “input” to “inp” [0] is a big no.
[0] https://github.com/dabeaz/blog/blob/main/2023/three-problems...
- Text Parsing: Now You Have Three Problems (David Beazley)
- Now You Have Three Problems
- Now You Have Three Problems – A Story about Parsing
- Barely an Interface [David Beazley continues questioning the need for ABC]
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Why TODO might be better than an Abstract Base Class [David Beazley]
Updated link: https://github.com/dabeaz/blog/blob/main/2021/todo-abc.md
What are some alternatives?
pybind11 - Seamless operability between C++11 and Python
python-mastery - Advanced Python Mastery (course by @dabeaz)
awesome-cython - A curated list of awesome Cython resources. Just a draft for now.
CPython - The Python programming language
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.
matplotlibcpp17 - Alternative to matplotlibcpp with better syntax, based on pybind
epython - EPython is a typed-subset of the Python for extending the language new builtin types and methods
avendish - declarative polyamorous cross-system intermedia objects
warp - A Python framework for high performance GPU simulation and graphics
nvk - Vulkan API for JavaScript/TypeScript
oead - Library for recent Nintendo EAD formats in first-party games
loneliless - A Deep-Q Network playing a single player Pong game. Network done in Python (Tensorflow-gpu) with the single player Pong game implemented in C++ (Openframeworks) and both binded with Pybind11.