Search Results for "ios android gaming"
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Showing 18 open source projects for "ios android gaming"
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Android Runtime for NativeScript
NativeScript for Android using v8
Contains the source code for the NativeScript's Android Runtime. NativeScript is a framework that enables developers to write truly native mobile applications for Android and iOS using JavaScript and CSS. Each mobile platform has its own ecosystem and offers completely different development tools and language(s) - Java for Android and Objective C (Swift) for iOS. In order to translate JavaScript code to the corresponding native APIs some kind of proxy mechanism is needed. ... -
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MMKV for Android
An efficient, small mobile key-value storage framework
MMKV for Android is an efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, and POSIX. Efficient. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values, making the most of Android to achieve best performance. MMKV supports concurrent read-read and read-write access between processes. -
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JUCE
JUCE is an open-source cross-platform C++ application framework
...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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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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react-native-mmkv-storage
Encrypted mobile key-value storage framework for React Native
An ultra fast(0.0002s read/write), small & encrypted mobile key-value storage framework for React Native written in C++ using JSI. This library aims to provide a fast & reliable solution for you data storage needs in react-native apps. It uses MMKV by Tencent under the hood on Android and iOS both that is used by their WeChat app(more than 1 Billion users). Unlike other storage solutions for React Native, this library lets you store any kind of data type, in any number of database instances, with or without encryption in a very fast and efficient way. Read about it on this blog post I wrote on dev.to. Starting from v0.5.0 the library has been rewritten in C++ on Android and iOS both. ... -
6
Valdi
Cross-platform UI framework that delivers native performance
Valdi is a cross-platform UI framework built to deliver native runtime performance without giving up the fast iteration loop that teams want from higher-level frameworks. You write your UI once in declarative TypeScript (TSX-style components), and Valdi compiles those components directly into platform-native views for iOS, Android, and macOS, instead of relying on web views or a JavaScript bridge. Its design focuses heavily on performance characteristics that matter in real apps, like keeping scrolling smooth, minimizing view creation overhead, and limiting unnecessary re-renders so updates stay incremental and cheap. The framework also emphasizes developer velocity with tooling that shortens the edit–run cycle, including rapid hot reload and a workflow that aims to reduce the traditional compile-test-debug friction in native development. -
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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... -
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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... -
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Cutelyst
Web Framework built on top of Qt, using the approach of Catalyst
...Why have two or more development teams focused on a specific platform when you can have a single team coding the same code, sharing skills and lines of code. With Qt, you already can write applications for Windows, Linux, Android, MacOS, and iOS using the same source code, Cutelyst allows you to share your C++ code with your web application. Cutelyst has a WSGI server that supports HTTP/1.1, HTTP/2, FastCGI, and WebSockets, it can even be embedded in your application if you like. It also features a plugin for uWSGI which gives us support for HTTP/1.0, FastCGI, and uWSGI protocols but is slower and doesn't support WebSockets. ... -
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10
Yoga
Cross-platform layout engine which implements Flexbox
...Yoga is built with cross platform in mind. To ensure Yoga can be used anywhere, it was written in portable C/C++ and has a low number of dependencies and small binary size. This means Yoga can be used on iOS and Android, sharing knowledge, and potentially code, between platforms. -
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xtd
Modern C++20 framework to create console, GUI and unit tests.
xtd (pronounced "extend") is a modern C++20 framework to create console CLI), forms (GUI like WinForms) and unit test (xUnit) applications on Windows, macOS, Linux, iOS , Android, FreeBSD and Haiku. • Website : https://gammasoft71.github.io/xtd/ • Sources : https://github.com/gammasoft71/xtd • Reference guide : https://gammasoft71.github.io/xtd/reference_guides/latest/index.html • Install : https://gammasoft71.github.io/xtd/docs/downloads • Portability : https://gammasoft71.github.io/xtd/docs/documentation/portability • Examples : https://github.com/gammasoft71/xtd/tree/master/examples/README.md -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes obligatory when running a model. ... -
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Cocos2d-x
Open-source, cross-platform, game-development tools
Cocos2d-x is a mature, free, open-source, cross-platform C++ game development framework—derived from cocos2d-iPhone—for building 2D games, interactive media, and demos across major platforms. Fast and compressed textures: PVR compressed and uncompressed textures, ETC1 compressed textures, and more. Language: C++, with Lua and JavaScript bindings. Android Studio 3.0.0+ to build Android games(tested with 3.0.0). JRE or JDK 1.6+ is required for web publishing. Fast font rendering using Fixed... -
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The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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Apache Weex
A framework for building Mobile cross-platform UI
...Weex is using native components and native modules to take advantage of native rendering performance and platform capabilities. Both components and modules are pluggable and extendable. You can use a single codebase to generate different bundle files to running on both Webs, Android and iOS platforms. Native components and modules have a different implementation on each platform, but they all exposed the same API. Weex embraces the existing Web ecosystem, you can use modern front-end technology to develop your mobile apps. Weex supports most commonly used CSS properties and most popular front-end frameworks, such as Vue and Rax, maybe more in the future. ... -
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tunit - xUnit test framework
Modern c++17 unit testing framework on Windows, macOS, Linux, ...
Modern c++17 unit testing framework on Windows, macOS, Linux, iOS and android. * Github repository : https://github.com/gammasoft71/tunit * Homepage : https://gammasoft71.wixsite.com/tunit * Reference guide : https://codedocs.xyz/gammasoft71/tunit/ * Wiki : https://github.com/gammasoft71/tunit/blob/master/docs/documentation.md * Examples : https://github.com/gammasoft71/tunit/tree/master/examples -
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JUCE is a C++ toolkit for building cross-platform applications on PC/Mac/Linux/iOS/Android. Particularly good for complex, customised GUIs and audio/midi processing, it also includes a vast range of classes to help with all your day-to-day programming tasks.
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Linderdaum Engine is an open source purely object-oriented 3D gaming engine written in C++. It is designed to be an integrated solution for the development of interactive 3D applications, for game, industrial and scientific visualization.
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