Does anyone know of a good overview how much overhead using ctypes to call functions from a dynamic library adds to #python code instead of building a native extension e.g via #cython #pybind11 or #nanobind ?

A blog post with some statistics would be perfect but just ballpark figures from anyone who knows what they are talking about is fine

#cppusergroupvienna is proud to release a video of our latest talk about Bridging C++ and Python with Nanobind!

https://www.youtube.com/watch?v=J0rJJIw_lO4

#cpp #cplusplus #python #nanobind

Bridging C++ and Python with Nanobind - Maximilian Kleinert

YouTube

Reminder: In one week, #cppusergroupvienna meets to look into writing Python extensions in C++ using nanobind!
I'll add some takeaways from the ACCU conference, and there will be time for socializing, of course.

Please register at https://www.meetup.com/cpp-usergroup-vienna/events/307856882
If you have any trouble registering, please get in touch here or via email ([email protected])

#cplusplus #cpp #python #nanobind #accu

Bridging C++ and Python with Nanobind, Tue, Jun 3, 2025, 6:30 PM | Meetup

*(official nanobind logo, designed by [AndoTwin Studio](https://andotwinstudio.com))* We are excited that **Max** has agreed to give an introductory talk on nanobind (see

Meetup