pybind11
FunctionalPlus
Our great sponsors
pybind11 | FunctionalPlus | |
---|---|---|
42 | 10 | |
14,741 | 2,001 | |
1.7% | - | |
8.7 | 7.7 | |
7 days ago | 11 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | Boost Software License 1.0 |
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
-
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
-
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.
-
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.
-
Facial Landmark Detection with C++
pybind11 makes it easy to call C++ from Python if you want to mix.
-
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
-
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.
-
IPC communication between rust, c++, and python
Reading from Python requires a wrapper, using pybind11 this is fairly done.
-
[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.
FunctionalPlus
-
Leaving Haskell Behind
Hoogle is really amazing!
Inspired by it, I implemented something similar for FunctionalPlus (a functional-programming library for C++): https://www.editgym.com/fplus-api-search/
I'd love to see more projects taking this path too. :)
-
C++ algorithm helpers - kdalgorithms
You can get a feel for it on its api search site: as an example, enter these queries:
-
C++20 Ranges The Key Advantage - Algorithm Composition
I use a library called FunctionalPlus daily.
-
Why C++ for everything?
As idiomatic, I will try to adopt as much as possible purely functional programming in C++ by using https://github.com/Dobiasd/FunctionalPlus . Do you have by any chance any alternative suggestion?
-
Building a Dual Shared and Static Library with CMake
Any project CML file that is more complex than this is mismanaged and needs fixing asap. There is absolutely no reason to make CML files describing requirements of a library substantially more complex other than if you have a vendetta against yourself, package maintainers and your users.
-
CLion IDE
FunctionalPlus - 30 lines for usage requirements + 60 for install rules: just simple commands creating a target, setting properties and defining install rules. Hmm, nothing unholy here.
-
Integrating sanitizers into your CI workflow
Another option is to use a superbuild CML where you can do all the nasty, platform specific things. Example of a superbuild CML.
-
Best practice unit tests + examples with cmake
You can copy this project structure: https://github.com/Dobiasd/FunctionalPlus
- CMake and the Future of C++ Package Management
What are some alternatives?
PyO3 - Rust bindings for the Python interpreter
C++ B-tree - Git mirror of the official (mercurial) repository of cpp-btree
nanobind - nanobind: tiny and efficient C++/Python bindings
v8pp - Bind C++ functions and classes into V8 JavaScript engine
Optional Argument in C++ - Named Optional Arguments in C++17
dynamic_bitset - Simple Useful Libraries: C++17/20 header-only dynamic bitset
setuptools-rust - Setuptools plugin for Rust support
Hashmaps - Various open addressing hashmap algorithms in C++
sol2 - Sol3 (sol2 v3.0) - a C++ <-> Lua API wrapper with advanced features and top notch performance - is here, and it's great! Documentation:
function2 - Improved and configurable drop-in replacement to std::function that supports move only types, multiple overloads and more
PEGTL - Parsing Expression Grammar Template Library
sparsehash - C++ associative containers