Open Source C++ Frameworks
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C++ Frameworks
View 168 business solutionsBrowse free open source C++ Frameworks and projects below. Use the toggles on the left to filter open source C++ Frameworks by OS, license, language, programming language, and project status.
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libsdl-android
SDL library for Android, including several games.
Port of SDL library to Android mobile platform. There are also several games inside the repository, along with their sources and build files. Both SDL 1.2 and 1.3/2.0 versions are supported (1.3/2.0 support is experimental) Sources are at https://github.com/pelya/commandergenius -
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REFramework
Scripting platform, modding framework and VR support for RE Engine
A mod framework, scripting platform, and modding tool for RE Engine games. Inspired by and uses code from Kanan. Supports Resident Evil 2, Resident Evil 3, Resident Evil 7, Resident Evil Village, Devil May Cry 5, Monster Hunter Rise. Lua Scripting API (All games), VR, Generic 6DOF VR support for all games, motion controls for RE2/RE3 (RE7 and RE8 motion controls are still WIP!), first person (RE2, RE3), free camera (All games), scene timescale (All games), manual flashlight (RE2, RE3, RE8), FOV slider & vignette disabler (RE2, RE3, RE8). -
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Crow Framework
A Fast and Easy to use microframework for the web
A Fast and Easy to use microframework for the web. Crow is a C++ framework for creating HTTP or Websocket web services. It uses routing similar to Python's Flask which makes it easy to use. It is also extremely fast, beating multiple existing C++ frameworks as well as non-C++ frameworks. Crow is provided free of charge courtesy of everyone who is donating their money, time, and expertise to keep it going. The 1000-mile journey begins with a single step. Get started by installing Crow and building you first application. Or go through the guides if you're stuck somewhere. Easy Routing (similar to flask). Type-safe Handlers. Blazingly fast (see this benchmark and this benchmark). Built-in JSON support. Mustache-based templating library (crow::mustache). Header-only library (single header file available). Middleware support for extensions. HTTP/1.1 and Websocket support. Multi-part request and response support. Uses modern C++ (11/14). -
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MAME
MAME is a multi-purpose emulation framework
MAME's purpose is to preserve decades of software history. As electronic technology continues to rush forward, MAME prevents this important "vintage" software from being lost and forgotten. This is achieved by documenting the hardware and how it functions. The source code to MAME serves as this documentation. The fact that the software is usable serves primarily to validate the accuracy of the documentation (how else can you prove that you have recreated the hardware faithfully?). Over time, MAME (originally stood for Multiple Arcade Machine Emulator) absorbed the sister-project MESS (Multi Emulator Super System), so MAME now documents a wide variety of (mostly vintage) computers, video game consoles and calculators, in addition to the arcade video games that were its initial focus. The MAME project as a whole is distributed under the terms of the GNU General Public License, 2 (GPL-2.0), since it contains code made available under multiple GPL-compatible licenses. -
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance-critical for live experiences. Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control. For example, it can form the basis for yoga, dance, and fitness applications. It can also enable the overlay of digital content and information on top of the physical world in augmented reality. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. Gain the lowest memory usage when inferencing a model by leveraging our unique pushdown memory planner. NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.5 to 3.8. On Windows 10 you can either install the Linux distribution through Windows Subsystem for Linux (WSL) or install the Windows distribution directly. Many other platforms are supported for inference. -
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Grassroots DICOM
Cross-platform DICOM implementation
Grassroots DiCoM is a C++ library for DICOM medical files. It is accessible from Python, C#, Java and PHP. It supports RAW, JPEG, JPEG 2000, JPEG-LS, RLE and deflated transfer syntax. It comes with a super fast scanner implementation to quickly scan hundreds of DICOM files. It supports SCU network operations (C-ECHO, C-FIND, C-STORE, C-MOVE). PS 3.3 & 3.6 are distributed as XML files. It also provides PS 3.15 certificates and password based mecanism to anonymize and de-identify DICOM datasets. -
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QP Real-Time Event Frameworks & Tools
Real-Time Event Frameworks based on active objects & state machines
QP real-time event frameworks (RTEFs) provide lightweight, modern, event-driven architecture based on asynchronous Active Objects (Actors) and Hierarchical State Machines. The matching QM model-based design tool and other host-based tools complement the QP frameworks by supporting graphical modeling, code generation, software tracing, and unit testing for event-driven embedded software. Visit https://www.state-machine.com for more information. The QP RTEFs can run on bare-metal microcontrollers, replacing a traditional RTOS. The frameworks contain a selection of built-in real-time kernels (RTOS kernels), such as the cooperative QV kernel, the preemptive non-blocking QK kernel, and the unique preemptive, dual-mode (blocking/non-blocking) QXK kernel. Native QP ports and ready-to-use examples are provided for ARM Cortex-M (M0/M0+/M3/M4/M7/M33/...) as well as other CPUs. The QP RTEFs can also work with many traditional RTOSes and General-Purpose OSes, such as Linux and Windows. -
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Selenium
Browser automation framework and ecosystem
Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should) also be automated as well. If you want to create robust, browser-based regression automation suites and tests, scale and distribute scripts across many environments, then you want to use Selenium WebDriver, a collection of language specific bindings to drive a browser - the way it is meant to be driven. If you want to create quick bug reproduction scripts, create scripts to aid in automation-aided exploratory testing, then you want to use Selenium IDE; a Chrome and Firefox add-on that will do simple record-and-playback of interactions with the browser. If you want to scale by distributing and running tests on several machines and manage multiple environments from a central point. -
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JUCE
JUCE is an open-source cross-platform C++ application framework
JUCE is an open-source cross-platform C++ application framework for creating high-quality desktop and mobile applications, including VST, VST3, AU, AUv3, RTAS and AAX audio plug-ins. JUCE can be easily integrated with existing projects via CMake, or can be used as a project generation tool via the Projucer, which supports exporting projects for Xcode (macOS and iOS), Visual Studio, Android Studio, Code::Blocks and Linux Makefiles as well as containing a source code editor. JUCE projects can be managed with either the Projucer (JUCE's own project-configuration tool) or with CMake. With support for PC, Mac and Linux, JUCE is the perfect tool for building powerful and complex applications. JUCE also supports the development of plug-ins: VST, AU and AAX. Run your desktop applications on mobile! One-click deployment to Android and iOS (requires Android Studio and XCode) Adjust the user interface of your application with the Projucer live coding engine. -
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wxWidgets
A cross-platform GUI library
wxWidgets is a C++ library that lets developers create applications for Windows, Mac OS X, Linux and other platforms with a single code base. It has popular language bindings for Python, Perl, Ruby and many other languages, and unlike other cross-platform toolkits, wxWidgets gives applications a truly native look and feel because it uses the platform's native API rather than emulating the GUI. It's also extensive, free, open-source and mature. -
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MNN
MNN is a blazing fast, lightweight deep learning framework
MNN is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity distribution, security risk control. In addition, MNN is also used on embedded devices, such as IoT. MNN Workbench could be downloaded from MNN's homepage, which provides pretrained models, visualized training tools, and one-click deployment of models to devices. Android platform, core so size is about 400KB, OpenCL so is about 400KB, Vulkan so is about 400KB. Supports hybrid computing on multiple devices. Currently supports CPU and GPU. -
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QuaZIP
A C++/Qt ZIP library
Moved to GitHub: https://github.com/stachenov/quazip -
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Catch2
A modern, C++-native, test framework for unit-tests, TDD and BDD
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch). Catch2 is mainly a unit testing framework for C++, but it also provides basic micro-benchmarking features and simple BDD macros. Catch2's main advantage is that using it is both simple and natural. Test names do not have to be valid identifiers, assertions look like normal C++ boolean expressions, and sections provide a nice and local way to share set-up and tear-down code in tests. You are on the devel branch, where the v3 version is being developed. v3 brings a bunch of significant changes, the big one being that Catch2 is no longer a single-header library. Catch2 now behaves as a normal library, with multiple headers and separately compiled implementation. -
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Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which does this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. This makes it possible to make recommendations specifically for each user or situation, using completely up to date information. -
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RefineNet
RefineNet: Multi-Path Refinement Networks
RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets such as PASCAL VOC 2012, Cityscapes, NYUDv2, Person_Parts, PASCAL_Context, SUNRGBD, and ADE20k, with versions based on ResNet-101 and ResNet-152 backbones. The repository supports both single-scale and multi-scale prediction, with scripts for training, testing, and evaluating segmentation performance. While this codebase is specific to MATLAB and MatConvNet, a PyTorch implementation and lighter-weight variants are also available from the community. -
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OWLNext: C++ Application Framework
Borland's Object Windows Library for the modern age
An extensive update of Borland's Object Windows Library (OWL) for writing GUI applications in standard C++ on Microsoft Windows. -
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LÖVE
LÖVE is an awesome 2D game framework for Lua
LÖVE is an *awesome* framework you can use to make 2D games in Lua. It's free, open-source, and works on Windows, macOS, Linux, Android and iOS. -
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Neutralinojs
Portable and lightweight cross-platform desktop application
Neutralinojs is a lightweight and portable desktop application development framework. It lets you develop lightweight cross-platform desktop applications using JavaScript, HTML and CSS. You can extend Neutralinojs with any programming language (via extensions IPC) and use Neutralinojs as a part of any source file (via child processes IPC). In Electron and NWjs, you have to install Node.js and hundreds of dependency libraries. Embedded Chromium and Node.js make simple apps bloaty, in most scenarios, framework weights more than your app source. Neutralinojs offers a lightweight and portable SDK which is an alternative for Electron and NW.js. Neutralinojs doesn't bundle Chromium and uses the existing web browser library in the operating system (Eg: gtk-webkit2 on Linux). Neutralinojs implements a secure WebSocket connection for native operations and embeds a static web server to serve the web content. Also, it offers a built-in JavaScript client library for developers. -
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CEF Python
Python bindings for the Chromium Embedded Framework (CEF)
Python bindings for the Chromium Embedded Framework (CEF). CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide Python bindings for the Chromium Embedded Framework (CEF). The Chromium project focuses mainly on Google Chrome application development while CEF focuses on facilitating embedded browser use cases in third-party applications. Lots of applications use CEF control, there are more than 100 million CEF instances installed around the world. There are numerous use cases for CEF. Use it as a modern HTML5 based rendering engine that can act as a replacement for classic desktop GUI frameworks. Think of it as Electron for Python. Embed a web browser widget in a classic Qt / GTK / wxPython desktop application. Use it for automated testing of web applications with more advanced capabilities than Selenium web browser automation due to CEF low level programming APIs. -
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CppCMS is the web development framework written in C++, that is aimed on development of high performance web application. It uses different web APIs, most noticably FastCGI, as a web layer and various databases as a storage backed.
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Calamares
Distribution-independent installer framework
Calamares aims to be easy, usable, beautiful, pragmatic, inclusive and distribution-agnostic. Calamares is an installer framework. By design, it is very customizable, in order to satisfy a wide variety of needs and use cases. Calamares aims to be easy, usable & beautiful while remaining independent of any particular Linux distribution. The Guide linked above has documentation for end-users, the wiki is mostly for distro developers. The developer’s guide contains information on building Calamares, its design, and localization. Since Calamares is designed to be customized, themed, and branded by individual distributions, it can look very different when used by specific distributions. A separate extensions package contains examples and custom modules. -
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GoogleTest
Google Testing and Mocking Framework
GoogleTest is Google's C++ mocking and test framework. It's used by many internal projects at Google, as well as a number of notable projects such as The Chromium projects, the OpenCV computer vision library, and the LLVM compiler. This GoogleTest project is actually a union of what used to be two separate projects: the old GoogleTest and GoogleMock, an extension of GoogleTest for writing and using C++ mock classes. Since they were so closely related, they were merged to create an even better GoogleTest. GoogleTest features an xUnit test framework, a rich set of assertions, user-defined assertions, death tests, among many others. It's been used on a variety of platforms, including Cygwin, Symbian, MinGW and PlatformIO. -
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React Native for Windows
A framework for building native Windows apps with React
Bring your React Native apps to some of the most powerful devices out there. Take your apps across PC, Xbox, Surface Tablets, and dual-screens with our robust Windows extension to React Native. Extend your desktop experience to more than just Windows! Try out our fully supported macOS extension to React Native. React Native for Windows + macOS brings React Native support for the Windows 10 SDK as well as the macOS 10.13 SDK. With this, you can use JavaScript to build native Windows apps for all devices supported by Windows 10 including PCs, tablets, 2-in-1s, Xbox, Mixed reality devices, etc., as well as the macOS desktop and laptop ecosystems. Some build-time tools will send telemetry to Microsoft by default. No telemetry is collected or transmitted in the final app. You can prevent the telemetry from being sent by using the --no-telemetry command line option. See the --help command or README file for more details. -
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Redpanda
Redpanda is a streaming data platform for developers
Faster data. Fewer nodes. More time for coffee. Redpanda is a Kafka®-compatible streaming data platform that is proven to be 10x faster and 6x more cost-efficient. It is also JVM-free, ZooKeeper®-free, Jepsen-tested and source available. We are building a real-time streaming engine for modern applications - from the enterprise to the solo dev prototyping a react application on her laptop. We go beyond the Kafka protocol, into the future of streaming with inline WASM transforms and geo-replicated hierarchical storage. A new platform that scales with you from the smallest projects to petabytes of data distributed across the globe. We provide a very simple build system that uses your system libraries. We recommend users leverage our pre-built stable releases which are vetted, tested, and reproducible with exact versions of the entire transitive dependency graph, including exact compilers all built from source. The only thing we do not build yet is the Linux Kernel, but soon!
