aiobotocore
nanobind
| aiobotocore | nanobind | |
|---|---|---|
| 3 | 11 | |
| 1,087 | 2,042 | |
| 1.8% | - | |
| 7.6 | 9.6 | |
| 17 days ago | 7 days ago | |
| Python | C++ | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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aiobotocore
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
What are some alternatives?
aioboto3 - Wrapper to use boto3 resources with the aiobotocore async backend
pybind11 - Seamless operability between C++11 and Python
s3fs - S3 Filesystem
awesome-cython - A curated list of awesome Cython resources. Just a draft for now.
boto3 - AWS SDK for 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.
aioaws - Asyncio compatible SDK for aws services.
matplotlibcpp17 - Alternative to matplotlibcpp with better syntax, based on pybind
aws-cli - Universal Command Line Interface for Amazon Web Services
epython - EPython is a typed-subset of the Python for extending the language new builtin types and methods
awesome-aws - A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
avendish - declarative polyamorous cross-system intermedia objects