pystring

pystring [1] is such a "finished" project, they even have a note in the readme that the project is not dead (I guess they got a lot of such questions too). It's a small yet complete library with a very narrow focus, so there really is nothing to change once it's done (and despite that recently merged CI pipeline having failed on macOS for some reason, it works just fine there, I make heavy use of pystring in one my projects across Windows, macOS and Linux). Quote: "Note: Despite the infrequent updates, this repo is not dead/abandoned - just stable! We use it every day at Imageworks." [1] https://github.com/imageworks/pystring

If performance matters most, write your own specialized string processing code which works on "raw" data in memory buffers. If convenience matters look at https://github.com/fmtlib/fmt (or std::format which AFAIK is less feature rich) and https://github.com/imageworks/pystring.

I like C much more than C++, but even with that must say that https://github.com/fmtlib/fmt is pretty nice (which is the base for std::format). Together with pystring (https://github.com/imageworks/pystring) it makes string processing in C++ somewhat bearable (pystring is slow though because it still uses the std::string type which excessively allocates, but at least it's convenient compared to 'raw' C++ string functionality).

> When I look at C++14 and later I can't help but throw my hands up, Why C++14? The changes were very minor and mostly about being able to declare lambda functions with auto, which is extremely useful. > Waiting for Cross-Platform standardized SIMD vector datatypes I only know of ISPC having this, but there are also lots of SIMD libraries for C++ that are small and have minimal dependencies. > Using nonstandard extensions, libraries or home-baked solutions to run computations in parallel on many cores or on different processors than the CPU std::thread, atomics, and mutexes were added in C++11 and work extremely well. OpenMP is in the top four compilers if someone wants super easy fork-join parallelism. What other languages make C++ look archaic here? > Debugging cross-platform code using couts, cerrs and printfs Both visual studio and Q

Interesting side note: https://github.com/fmtlib/fmt of the same author has been aded to the C++20 standard. One of the few inclusions into the standard which (IMHO) can be universally considered to be a good thing. If you're coming from printf() or iostreams, fmtlib is a joy to use, especially together with pystring (https://github.com/imageworks/pystring). Both libs don't fix the underlying problems of std::string, but at least they reduce the pain of working with strings in C++ considerably.