pybind11
py2many
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pybind11 | py2many | |
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42 | 29 | |
14,708 | 590 | |
1.5% | 2.2% | |
8.7 | 8.1 | |
5 days ago | 18 days ago | |
C++ | Python | |
GNU General Public License v3.0 or later | 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.
pybind11
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Experience using crow as web server
I'm investigating using C++ to build a REST server, and would love to know of people's experiences with Crow-- or whether they would recommend something else as a "medium-level" abstraction C++ web server. As background, I started off experimenting with Python/FastAPI, which is great, but there is too much friction to translate from pybind11-exported C++ objects to the format that FastAPI expects, and, of course, there are inherent performance limitations using Python, which could impact scaling up if the project were to be successful.
- Swig – Connect C/C++ programs with high-level programming languages
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returning numpy arrays via pybind11
I have a C++ function computing a large tensor which I would like to return to Python as a NumPy array via pybind11.
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I created smooth_lines python module, great for drawing software
This is based on the Google Ink Stroke Modeler C++ library, and using pybind11 to make it available on python.
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Facial Landmark Detection with C++
pybind11 makes it easy to call C++ from Python if you want to mix.
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Python’s Multiprocessing Performance Problem
If you've never used Pybind before these pybind tests[1] and this repo[2] have good examples you can crib to get started (in addition to the docs). Once you handle passing/returning/creating the main data types (list, tuple, dict, set, numpy array) the first time, then it's mostly smooth sailing.
Pybind offers a lot of functionality, but core "good parts" I've found useful are (a) use a numpy array in Python and pass it to a C++ method to work on, (b) pass your python data structure to pybind and then do work on it in C++ (some copy overhead), and (c) Make a class/struct in C++ and expose it to Python (so no copying overhead and you can create nice cache-aware structs, etc.).
[1] https://github.com/pybind/pybind11/blob/master/tests/test_py...
- Making Python Web Application with C++ Backend
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Using pybind11 with minGW to cross compile pyhton module for Windows
I have a python module for which the logic is written in C++ and I use pybind11 to expose the objects and functions to Python.
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IPC communication between rust, c++, and python
Reading from Python requires a wrapper, using pybind11 this is fairly done.
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[ADVICE] Python to C++
Also I can highly recommend starting using C++ to augment your Python code, i.e. find the parts that are slow or undoable in Python and write those in C++ then expose them as Python functions. You can use https://github.com/pybind/pybind11 to call C++ code from Python.
py2many
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Transpiler, a Meaningless Word
> Another problem is that there are hundreds of built-in library functions that need to be compiled from Python from C
An approach I've advocated as one of the main authors of py2many is that all of the python builtin functions be written in a subset of python[1] and then compiled into native code. This has the benefit of avoiding GIL, problems with C-API among other things.
Do checkout the examples here[2] which work out of the box for many of the 8-9 supported backends.
[1] https://github.com/py2many/py2many/blob/main/doc/langspec.md
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py2many VS kithon - a user suggested alternative
2 projects | 17 Jun 2023
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Why I'm still using Python
https://github.com/py2many/py2many/blob/main/doc/langspec.md
Reimplement a large enough, commonly used subset of python stdlib using this dialect and we may be in the business of writing cross platform apps (perhaps start with android and Ubuntu/Gnome)
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Codon: A high-performance Python compiler
For py2many, there is an informal specification here:
https://github.com/py2many/py2many/blob/main/doc/langspec.md
Would be great if all the authors of "python-like" languages get together and come up with a couple of specs.
I say a couple, because there are ones that support the python runtime (such as cython) and the ones which don't (like py2many).
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A Python-compatible statically typed language erg-lang/erg
It'd not fully solve your issue, but have you ever seen https://github.com/py2many/py2many ?
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Omyyyy/pycom: A Python compiler, down to native code, using C++
Cython doesn't consume python3 type hints and needs special type hints of its own. But it's certainly more mature than other players in the field.
What we need is a rpython suitable for app programming and a stdlib written in that dialect.
https://github.com/py2many/py2many/blob/main/doc/langspec.md
- I made a Python compiler, that can compile Python source down to fast, standalone executables.
- PyTorch: Where we are headed and why it looks a lot like Julia (but not exactly)
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Show HN: prometeo – a Python-to-C transpiler for high-performance computing
No intermediate AST. To understand the various stages of transpilation and separation of language specific and independent rewriters, this file is a good starting point:
https://github.com/adsharma/py2many/blob/main/py2many/cli.py...
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Implicit Overflow Considered Harmful (and how to fix it)
Link to the test that's relevant for this discussion:
https://github.com/adsharma/py2many/blob/main/tests/cases/in...
This is an explicit deviation from python's bigint, which doesn't map very well to systemsey languages. The next logical step is to build on this to have dependent and refinement types.
Work in progress here:
What are some alternatives?
PyO3 - Rust bindings for the Python interpreter
nanobind - nanobind: tiny and efficient C++/Python bindings
PythonNet - Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
Optional Argument in C++ - Named Optional Arguments in C++17
PyCall.jl - Package to call Python functions from the Julia language
setuptools-rust - Setuptools plugin for Rust support
julia - The Julia Programming Language
PEGTL - Parsing Expression Grammar Template Library
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
sol2 - Sol3 (sol2 v3.0) - a C++ <-> Lua API wrapper with advanced features and top notch performance - is here, and it's great! Documentation:
sqlglot - Python SQL Parser and Transpiler