ponder - C++ reflection library

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V1 replaced Boost with C++11. V2 added Lua bindings. V3 refactored to remove some warts, ease future development, and re-add serialisation. API is evolving. Ponder is a C++ multi-purpose reflection library. It provides an abstraction for most of the high-level concepts of C++: classes, enumerations, functions, properties.

c-plus-plus reflection library lua-binding serialization introspection cpp cpp11 cpp14 cpp-library reflection-library serialization-library

magic_enum - Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code

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Header-only C++17 library provides static reflection for enums, work with any enum type without any macro or boilerplate code.

cplusplus cplusplus-17 c-plus-plus c-plus-plus-17 cpp cpp17 enum-to-string string-to-enum serialization reflection metaprogramming header-only single-file no-dependencies

rttr - C++ Reflection Library

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RTTR is released under the terms of the MIT license, so it is free to use in your free or commercial projects. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

reflection introspection serialization properties c-plus-plus cplusplus-11 cmake library

nameof - Nameof operator for modern C++, simply obtain the name of a variable, type, function, macro, and enum

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Header-only C++17 library provides nameof macros and functions to simply obtain the name of a variable, type, function, macro, and enum. Nameof returns std::string_view. If argument does not have name, returns empty string.

cplusplus cplusplus-17 c-plus-plus c-plus-plus-17 cpp cpp17 nameof nameof-operator enum-to-string serialization reflection metaprogramming header-only single-file no-dependencies

tensorflow_cc - Build and install TensorFlow C++ API library.

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This repository makes possible the usage of the TensorFlow C++ API from the outside of the TensorFlow source code folders and without the use of the Bazel build system. This repository contains two CMake projects. The tensorflow_cc project downloads, builds and installs the TensorFlow C++ API into the operating system and the example project demonstrates its simple usage.

tensorflow tensorflow-cc tensorflow-cmake cpp c-plus-plus

hunter - :package: CMake driven cross-platform package manager for C/C++

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CMake driven cross-platform package manager for C/C++. Linux, Windows, macOS, iOS, Android, Raspberry Pi, etc.

cmake package-manager cpp cplusplus osx android ios raspberry-pi hunter c-plus-plus

cmake-init - Template for reliable, cross-platform C++ project setup using cmake.

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cmake-init is a sophisticated copy & paste template for modern C and C++ projects. The main goals include support of all use cases around software development (programming, testing, Q&A, deployment, documentation) while being modular, flexible, and idomatic. cmake-init is therefore a collection of cmake best-practices. The file ADAPT.md contains a task checklist for new projects. More generally, a new project should contain all core modules and, as needed, add the maintainer and development modules as required. cmake-init does not impose modularity rules for the cmake targets.

c-plus-plus cmake template c-plus-plus-11

suitesparse-metis-for-windows - CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake

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CMake scripts for painless usage of Tim Davis' SuiteSparse (CHOLMOD,UMFPACK,AMD,LDL,SPQR,...) and METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake. The project includes precompiled BLAS/LAPACK DLLs for easy use with Visual C++. Licensed under BSD 3-Clause License. The goal is using one single CMake code to build against SuiteSparse in standard Linux package systems (e.g. libsuitesparse-dev) and in manual compilations under Windows.

c-plus-plus suitesparse cmake

cpp-serializers - Benchmark comparing various data serialization libraries (thrift, protobuf etc

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Compare various data serialization libraries for C++. This project does not have any external library dependencies. All (boost, thrift etc.) needed libraries are downloaded and built automatically, but you need enough free disk space to build all components. To build this project you need a compiler that supports C++11 features. Project was tested with GCC 4.8.2 (Ubuntu 14.04).

cpp serialization protobuf capn-proto thrift flatbuffers cereal performance-testing boost msgpack avro apache-avro c-plus-plus yas

frugally-deep - Header-only library for using Keras models in C++.

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Would you like to build/train a model using Keras/Python? And would you like run the prediction (forward pass) on your model in C++ without linking your application against TensorFlow? Then frugally-deep is exactly for you. Layer types typically used in image recognition/generation are supported, making many popular model architectures possible (see Performance section).

tensorflow deep-learning keras cpp cpp14 header-only library c-plus-plus c-plus-plus-14 convolutional-neural-networks prediction machine-learning

cppast - Library to parse and work with the C++ AST

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Library interface to the C++ AST — parse source files, synthesize entities, get documentation comments and generate code. If you're writing a tool that needs access to the C++ AST (i.e. documentation generator, reflection library, …), your only option apart from writing your own parser is to use clang. It offers three interfaces for tools, but the only one that really works for standalone applications is libclang. However, libclang has various limitations and does not expose the entire AST.

cplusplus ast parser-library libclang

EASTL - EASTL stands for Electronic Arts Standard Template Library

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EASTL stands for Electronic Arts Standard Template Library. It is a C++ template library of containers, algorithms, and iterators useful for runtime and tool development across multiple platforms. It is a fairly extensive and robust implementation of such a library and has an emphasis on high performance above all other considerations. If you are familiar with the C++ STL or have worked with other templated container/algorithm libraries, you probably don't need to read this. If you have no familiarity with C++ templates at all, then you probably will need more than this document to get you up to speed. In this case, you need to understand that templates, when used properly, are powerful vehicles for the ease of creation of optimized C++ code. A description of C++ templates is outside the scope of this documentation, but there is plenty of such documentation on the Internet.

eastl stl games c-plus-plus c-plus-plus-11 c-plus-plus-14 c-plus-plus-17 modern-cpp

A C++ reflection-based data dictionary

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Lightweight include files adding reflection capabilities to C++. Generates SQL queries and serialization routines. STL-style iterations over class members. Compile-time / run-time reflection. Based on templates and meta-programming.

FunctionalPlus - Functional Programming Library for C++. Write concise and readable C++ code.

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helps you write concise and readable C++ code. Great code should mostly be self-documenting, but while using C++ in reality you can find yourself dealing with low-level stuff like iterators or hand-written loops that distract from the actual essence of your code.

range composition stl functional-programming algorithms header-only c-plus-plus c-plus-plus-14 c-plus-plus-17 library cpp cpp14

nana - a modern C++ GUI library

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Nana is a C++ library designed to allow developers to easily create cross-platform GUI applications with modern C++11 style. Currently it can work on Linux(X11) and Windows. The nana repository contains the entire source of the library. You can browse the source code and submit your pull request for contributing. Jinhao, Ariel Viña Rodríguez.

modern-cpp c-plus-plus-11 c-plus-plus-14 c-plus-plus-17 gui-toolkit template-metaprogramming cross-platform

cmake-examples - Useful CMake Examples

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CMake is a cross-platform open-source meta-build system which can build, test and package software. It can be used to support multiple native build environments including make, Apple’s xcode and Microsoft Visual Studio. This repository includes some example modern CMake configurations which I have picked up when exploring it’s usage for various projects. The examples are laid out in a tutorial like format. The first examples are very basic and slowly increase in complexity drawing on previous examples to show more complex use cases.

cmake cpp tutorial clang cppcheck static-analysis clang-format unit-testing google-test catch boost cpack ctest

ChaiScript - Embedded Scripting Language Designed for C++

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Release under the BSD license, see "license.txt" for details. ChaiScript requires a C++14 compiler to build with support for variadic templates. It has been tested with gcc 4.9 and clang 3.6 (with libcxx). For more information see the build dashboard.

c-plus-plus embedded-scripting-language cpp language

realm-core - Core database component for the Realm Mobile Database SDKs

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Realm is a mobile database that runs directly inside phones, tablets or wearables - check out realm.io.This repository holds the source code for the core database component used by all the Realm Mobile Database products: realm-java, realm-cocoa, realm-js and realm-dotnet. Realm Core is not in itself an "end-user" product with a publicly stable and supported API. It is the intention to build a publicly supported C++ API (see this issue), but that will be a separate product and likely build on top of realm-object-store.

database mobile-database realm c-plus-plus cpp library nosql-database mobile realtime-database reactive

RakNet - RakNet is a cross platform, open source, C++ networking engine for game programmers.

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------------------------------------------ See Help\swigtutorial.html Upgrading from version 3 ------------------------------------------ See 3.x_to_4.x_upgrade.txt Windows users (Visual Studio 2008 and 2010) ----------------------------------------- Load RakNet_VS2008.sln and convert if necessary.After the project conversion, if you encounter error MSB4006,follow the steps below to fix it:1. Open project properties2. Click on "Common Properties"3. Click on "Framework and References"4. Look

RxCpp - Reactive Extensions for C++

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The Reactive Extensions for C++ (RxCpp) is a library of algorithms for values-distributed-in-time. The Range-v3 library does the same for values-distributed-in-space. RxCpp is a header-only C++ library that only depends on the standard library. The CMake build generates documentation and unit tests. The unit tests depend on a git submodule for the Catch library.

reactivex c-plus-plus rxcpp algorithms virtuous-procrastination values-distributed-in-time