nanobind
oead
| nanobind | oead | |
|---|---|---|
| 11 | 1 | |
| 2,042 | 32 | |
| - | - | |
| 9.6 | 1.8 | |
| 4 days ago | 12 months ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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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
oead
What are some alternatives?
pybind11 - Seamless operability between C++11 and Python
sys-clk-Overlay - Editor for your sys-clk configuration using ovl-loader!
awesome-cython - A curated list of awesome Cython resources. Just a draft for now.
pkmn-chest - A Pokémon Bank for the 3rd through 5th generation Pokémon games for the Nintendo DS(i).
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.
Skyline - Run Nintendo Switch homebrew & games on your Android device!
matplotlibcpp17 - Alternative to matplotlibcpp with better syntax, based on pybind
NXGallery - 🎮 A Nintendo Switch Homebrew Application to transfer your screenshots to your phone or PC in no-time 📱⚡
epython - EPython is a typed-subset of the Python for extending the language new builtin types and methods
LeafEdit - Work in progress Animal Crossing: New Leaf save manager & editor for the Nintendo 3DS!
avendish - declarative polyamorous cross-system intermedia objects
Universal-Updater - An easy to use app for installing and updating 3DS homebrew