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ESP-IDF (Espressif IoT Development Framework) is the official, open-source development framework for programming Espressif SoCs (such as ESP32, ESP32‑S2, ESP32‑C3 series). It provides toolchains, APIs, components, sample code, and workflows for building embedded IoT firmware, offering support for Wi‑Fi, Bluetooth, power management, and peripheral integration. As well as the esp-idf-template project mentioned in Getting Started, ESP-IDF comes with some example projects in the examples...

...It is composed by a bunch of libraries (which are extended with plugins) and programs that can be automated with almost any programming language. It is recommended to install it from git, alternatively, you can pick the last release (every 6 weeks) from Github. Batch, Commandline, visual, and panels interactive modes. Embedded webserver with js scripting and WebUI. Assemble and disassemble a large list of CPUs. Runs on Windows and any other UNIX flavor out there. Analyze and emulate code with ESIL. Native debugger and GDB, WINDBG, QNX, and FRIDA. Navigate ASCII-art control flow graphs. ...

Advanced C/C++ library(ACL) for UNIX-like OS and WIN32 OS, including sync/async/ssl iostream for net/file, thread pool, process pool, db pool, server framework, event, memory, string, array/hash/ring/list, xml and json parser, http/smtp/icmp protocol, SSL/TLS, C unit test, etc

...It offers a full featured, easy and productive API. Written in ISO C and C++ on top of OCI, OCILIB runs on all Oracle platforms. NOTE : The project has moved to GitHub ! Website URL : http://www.ocilib.net GitHub URL : https://github.com/vrogier/ocilib

HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.

...CPPSP is built upon the CPoll asynchronous I/O and utility library, which offers simple I/O abstraction, network abstraction, memory management, and container classes. CPPSP project home page: http://xa.us.to/cppsp/index.cppsp Main development happens on github at: https://github.com/xaxaxa/workspace/ Documentation is currently being worked on, but there is a doxygen reference at: http://xa.us.to/cppsp/doxygen/html/classcppsp_1_1_page.html GCC 4.7 or above is required even for the binary release because .cppsp pages need to be compiled at runtime. CPPSP currently only supports linux (due to the use of epoll).