nanobind
matplotlibcpp17
Our great sponsors
| nanobind | matplotlibcpp17 | |
|---|---|---|
| 11 | 2 | |
| 2,028 | 58 | |
| - | - | |
| 9.6 | 3.2 | |
| 7 days ago | 6 months ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | 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.
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
matplotlibcpp17
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Anyone used matplotlibcpp17?
Link to library : https://soblin.github.io/matplotlibcpp17/
- Show HN: Matplotlibcpp17 – An alternative to matplotlibcpp with more features
What are some alternatives?
pybind11 - Seamless operability between C++11 and Python
PEGTL - Parsing Expression Grammar Template Library
awesome-cython - A curated list of awesome Cython resources. Just a draft for now.
compile-time-regular-expressions - Compile Time Regular Expression in C++
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.
envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
epython - EPython is a typed-subset of the Python for extending the language new builtin types and methods
Magic Enum C++ - Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code
avendish - declarative polyamorous cross-system intermedia objects
entt - Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more
warp - A Python framework for high performance GPU simulation and graphics
uvw - Header-only, event based, tiny and easy to use libuv wrapper in modern C++ - now available as also shared/static library!