ImFrame VS pybind11

If you need a quick way to start a C++ ImGui app, you can use my ImFrame library. It's essentially a C++ application wrapper around glfw + ImGUI, along with a few handy additions that applications might need, like native file and folder dialogs, automatic windows settings / persistence, etc.

If you want a demo, you can use my starter framework to see if it would work for you, or check out Implot's repository directly.

If you want a Dear Imgui "starter kit", you can try ImFrame. It packages a few libraries into a very lightweight cross-platform application framework.

If you just want an empty app in which you can play with ImGui, you can use a lightweight framework like ImFrame.

To help with this, I made a framework that makes it much easier to use like a more traditional application framework, providing a few handy features you'd expect, like native file dialogs, window position save/restore, native macOS windows, platform-appropriate settings storage, image loading, a selection of fonts, etc.

Probably the fastest way to do that is to use something like my ImFrame library, which is designed to get Dear ImGui and ImPlot up and running inside an app with minimal fuss and bother. You'll need to use CMake to build the project, but it's pretty simple, as there are batch files to build in the /Bin folder for Windows, Mac, or Linux.

Dear ImGUI - Unlike the others, is designed for applications with a real-time rendering loop, such as games. Was originally designed for creating debugging UIs, although has expanded far beyond this, and is now used for full-featured applications. Requires an existing back-end to plug into. If you need an application framework for Dear ImGUI, you can use my own project ImFrame, or something similar.

I use CMake as my (meta) build system, and generate VS projects on Windows, Xcode projects on Mac, and Code::Blocks projects/makefiles on Linux. Example of one such project of mine: https://github.com/JamesBoer/ImFrame

I'm currently writing a Dear Imgui framework called ImFrame. It handles the work of creating an application loop with an appropriate renderer, using GLFW and other open source libraries, and then exposing the Dear Imgui API for your use to do what you want with it.

For example, in one of my libraries (you can see the whole thing here), I'm including the single-header library stb_image.h as a separate project, so it shows up with all the other external libraries. It's not necessary for compilation, but is just there to assist with browsing / seeing all the external libraries.

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.

I have a C++ function computing a large tensor which I would like to return to Python as a NumPy array via pybind11.

This is based on the Google Ink Stroke Modeler C++ library, and using pybind11 to make it available on python.

pybind11 makes it easy to call C++ from Python if you want to mix.

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...

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.

Reading from Python requires a wrapper, using pybind11 this is fairly done.

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.