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.



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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.

Fit - C++ function utility library

  •    C++

Fit is a header-only C++11/C++14 library that provides utilities for functions and function objects, which can solve many problems with much simpler constructs than whats traditionally been done with metaprogramming. This requires a C++11 compiler. There are no third-party dependencies. This has been tested on clang 3.5-3.8, gcc 4.6-6.2, and Visual Studio 2015. Gcc 5.1 is not supported at all, however, gcc 5.4 is supported.

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

  •    C++

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).

hof - Higher-order functions for c++

  •    C++

HigherOrderFunctions is a header-only C++11/C++14 library that provides utilities for functions and function objects, which can solve many problems with much simpler constructs than whats traditionally been done with metaprogramming. This requires a C++11 compiler. There are no third-party dependencies. This has been tested on clang 3.5-3.8, gcc 4.6-7, and Visual Studio 2015 and 2017.

nana - a modern C++ GUI library

  •    C++

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.

awesome-cpp - A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things


A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.C++ Standard Library - including STL Containers, STL Aglorithm, STL Functional, etc.

range-v3 - Experimental range library for C++11/14/17

  •    C++

Range library for C++11/14/17. This code is the basis of a formal proposal to add range support to the C++ standard library. Why does C++ need another range library? Simply put, the existing solutions haven't kept up with the rapid evolution of C++. Range v3 is a library for the future C++. Not only does it work well with today's C++ -- move semantics, lambdas, automatically deduced types and all -- it also anticipates tomorrow's C++ with Concepts.

RxCpp - Reactive Extensions for C++

  •    C++

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.

doctest - The fastest feature-rich C++11 single-header testing framework for unit tests and TDD

  •    C++

doctest is a new C++ testing framework but is by far the fastest both in compile times (by orders of magnitude) and runtime compared to other feature-rich alternatives. It brings the ability of compiled languages such as D / Rust / Nim to have tests written directly in the production code by providing a fast, transparent and flexible test runner with a clean interface. The framework is and will stay free but needs your support to sustain its development. There are lots of new features and maintenance to do. If you work for a company using doctest or have the means to do so, please consider financial support. Monthly donations via Patreon and one-offs via PayPal.

nanoflann - nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

  •    C++

nanoflann is a C++11 header-only library for building KD-Trees of datasets with different topologies: R2, R3 (point clouds), SO(2) and SO(3) (2D and 3D rotation groups). No support for approximate NN is provided. nanoflann does not require compiling or installing. You just need to #include <nanoflann.hpp> in your code. This library is a fork of the flann library by Marius Muja and David G. Lowe, and born as a child project of MRPT. Following the original license terms, nanoflann is distributed under the BSD license. Please, for bugs use the issues button or fork and open a pull request.

beast - HTTP and WebSocket built on Boost.Asio in C++11

  •    C++

Beast is a C++ header-only library serving as a foundation for writing interoperable networking libraries by providing low-level HTTP/1, WebSocket, and networking protocol vocabulary types and algorithms using the consistent asynchronous model of Boost.Asio. Symmetry: Algorithms are role-agnostic; build clients, servers, or both.

Mudlet - A cross-platform, open source, and super fast MUD client with scripting in Lua

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Mudlet is a quality MUD client, designed to take mudding to a new level. It’s a new breed of a client on the MUD scene – with an intuitive user interface, a specially designed scripting framework, and a very fast text display. That, along with cross-platform capability and an open-source development model result in a very likable MUD client.

osrm-backend - Open Source Routing Machine - C++ backend

  •    C++

High performance routing engine written in C++14 designed to run on OpenStreetMap data. To quickly try OSRM use our demo server which comes with both the backend and a frontend on top.

glbinding - A C++ binding for the OpenGL API, generated using the gl.xml specification.

  •    C++

glbinding is a cross-platform C++ binding for the OpenGL API. glbinding leverages modern C++11 features like enum classes, lambdas, and variadic templates, instead of relying on macros; all OpenGL symbols are real functions and variables. It provides type-safe parameters, per feature API header, lazy function resolution, multi-context and multi-thread support, global and local function callbacks, meta information about the generated OpenGL binding and the OpenGL runtime, as well as tools and examples for quick-starting your projects. Based on the OpenGL API specification (gl.xml) glbinding is generated using python scripts and templates that can be easily adapted to fit custom needs.

Vc - SIMD Vector Classes for C++

  •    C++

Recent generations of CPUs, and GPUs in particular, require data-parallel codes for full efficiency. Data parallelism requires that the same sequence of operations is applied to different input data. CPUs and GPUs can thus reduce the necessary hardware for instruction decoding and scheduling in favor of more arithmetic and logic units, which execute the same instructions synchronously. On CPU architectures this is implemented via SIMD registers and instructions. A single SIMD register can store N values and a single SIMD instruction can execute N operations on those values. On GPU architectures N threads run in perfect sync, fed by a single instruction decoder/scheduler. Each thread has local memory and a given index to calculate the offsets in memory for loads and stores. Current C++ compilers can do automatic transformation of scalar codes to SIMD instructions (auto-vectorization). However, the compiler must reconstruct an intrinsic property of the algorithm that was lost when the developer wrote a purely scalar implementation in C++. Consequently, C++ compilers cannot vectorize any given code to its most efficient data-parallel variant. Especially larger data-parallel loops, spanning over multiple functions or even translation units, will often not be transformed into efficient SIMD code.

dll - Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

  •    C++

DLL is a library that aims to provide a C++ implementation of Restricted Boltzmann Machine (RBM) and Deep Belief Network (DBN) and their convolution versions as well. It also has support for some more standard neural networks. Note: When you clone the library, you need to clone the sub modules as well, using the --recursive option.

memory - STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write

  •    C++

The C++ STL allocator model has various flaws. For example, they are fixed to a certain type, because they are almost necessarily required to be templates. So you can't easily share a single allocator for multiple types. In addition, you can only get a copy from the containers and not the original allocator object. At least with C++11 they are allowed to be stateful and so can be made object not instance based. But still, the model has many flaws. Over the course of the years many solutions have been proposed. for example EASTL. This library is another. But instead of trying to change the STL, it works with the current implementation. See example/ for more.

eos - A lightweight 3D Morphable Face Model fitting library in modern C++11/14

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eos is a lightweight 3D Morphable Face Model fitting library that provides basic functionality to use face models, as well as camera and shape fitting functionality. It's written in modern C++11/14. An experimental model viewer to visualise 3D Morphable Models and blendshapes is available here.

hat-trie - C++ implementation of a fast and memory efficient HAT-trie

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Trie implementation based on the "HAT-trie: A Cache-conscious Trie-based Data Structure for Strings." (Askitis Nikolas and Sinha Ranjan, 2007) paper. For now, only the pure HAT-trie has been implemented, the hybrid version may arrive later. Details regarding the HAT-trie data structure can be found here. The library provides an efficient and compact way to store a set or a map of strings by compressing the common prefixes. It also allows to search for keys that match a prefix. Note though that the default parameters of the structure are geared toward optimizing exact searches, if you do a lot of prefix searches you may want to reduce the burst threshold through the burst_threshold method.

iod - Meta programming utilities for C++14

  •    C++

The IOD library enhances C++14 meta programming with a symbol based paradigm. It provides a compile-time way to introspect objects and generate code matching their data structures. It also contains few utilities built with symbol meta-programming. Without symbols (or other similar constructs), it is not possible to write such a generic print_member function. Without, one would have to write the three version accessing the three different members.