tbox
ffead-cpp
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tbox
- tbox 1.7.1 released, add fs watcher support
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Any Good Libraries for C?
a glib like library. https://github.com/tboox/tbox
- GitHub - tboox/tbox: 🎁 A glib-like multi-platform c library
- Show HN: A glib-like multi-platform C library
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Anyone used xmake?
Here's the github page for tbox, which xmake and xrepo rely on: https://github.com/tboox/tbox
ffead-cpp
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A C++ web/application framework I have been building for the last 12yrs
You are partially correct, the framework provides an option to change the backend to any engine (embedded, nginx, apache, picov, rust, c, java, d, js, julia, go, crystal etc), the framework provides integration to all the I/O multiplexing techniques available out there. But I would not reject it plainly with just a single line, more so because "I have built it", whereas for you, you totally have the right to do so, but I would request you to go through the code and also look at areas you may not have browsed earlier and provide any other critical comments you might have missed earlier, that would provide a comprehensive critical review of the framework which will definitely help me improve upon the framework
- Show HN: A C++ web/application framework I have been building for the last 12yrs
What are some alternatives?
APR - Mirror of Apache Portable Runtime
Seastar - High performance server-side application framework
Boost - Super-project for modularized Boost
MiLi
cxxtools - www.tntnet.org
Folly - An open-source C++ library developed and used at Facebook.
LibSourcey - C++14 evented IO libraries for high performance networking and media based applications
libPhenom
LibU - LibU is a multiplatform utility library written in C, with APIs for handling memory allocation, networking and URI parsing, string manipulation, debugging, and logging in a very compact way, plus many other miscellaneous tasks
BDE - Basic Development Environment - a set of foundational C++ libraries used at Bloomberg.
abseil-cpp - Abseil Common Libraries (C++)
STXXL - STXXL: Standard Template Library for Extra Large Data Sets