Search Results for "for android" - Page 2
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Showing 155 open source projects for "for android"
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Fast Binary Encoding (FBE)
Fast Binary Encoding is fast and universal serialization solution
Fast Binary Encoding is ultra fast and universal serialization solution for C++, C#, Go, Java, JavaScript, Kotlin, Python, Ruby, and Swift. Fast Binary Encoding allows to description of any domain models, business objects, complex data structures, client/server requests & responses and generate native code for different programming languages and platforms. -
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Skiko
Kotlin Multiplatform bindings to Skia
Skiko is an open-source graphics library from JetBrains that provides lightweight, cross-platform bindings for the Skia graphics engine tailored specifically for Kotlin Multiplatform and Compose applications. It serves as the low-level rendering backbone for Kotlin UI frameworks like Compose for Desktop and Compose for Web, enabling smooth, GPU-accelerated 2D graphics across Windows, macOS, Linux, and other supported targets without writing native code. Skiko abstracts away platform-specific... -
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React Native Audio API
High-performance audio engine for react-native
...It is designed for apps that need real-time control over audio playback, recording, routing, effects, and signal processing. Developers can build consistent audio behavior across iOS, Android, and the web without rewriting separate logic for each platform. The library supports audio graph concepts, making it useful for music tools, voice apps, sound effects, games, audio editors, and interactive media. It also includes recording-to-file capabilities and playback or recording notifications. Its main value is giving React Native developers a flexible audio engine for advanced sound experiences. -
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openFrameworks
Cross platform toolkit for creative coding in C++
openFrameworks is a C++ toolkit for creative coding. docs have some documentation around OF usage, per platform things to consider, etc. You should definitely take a look in there; for example, if you are on OSX, read the osx.md. apps and examples are where projects go -- examples contain a variety of tasks that show you how to use OF, and apps is where your own projects will go. libs contain the libraries that OF uses, including the open frameworks core itself. addons are for additional... -
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5
CPU Features
A cross platform C99 library to get cpu features at runtime
...The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and s390x—and works on major operating systems like Linux, macOS, Windows, FreeBSD, Android, and iOS. Implemented in portable C99, it is thread-safe, has no memory allocations, and raises no exceptions, making it suitable even for use in low-level system libraries. The design emphasizes portability, extensibility, and compatibility with sandboxed or restricted environments where direct CPU access may be limited. -
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mXparser
Math Parser: Java, C#, C++, Kotlin, Android, and all .NET platforms
Math Parser: Java, C#, C++, Kotlin, Android, and all .NET platforms (Nuget, Maven, CMake). Supports .NET Framework, .NET Core, .NET Standard, Xamarin, and more. Features: rich built-in library of math functions, operators, constants. Flexible in user-defined arguments, and functions. Expressions are provided as plain text. Easy to use. Well documented. MathParser.org-mXparser is an open-source mathematical expression parser and evaluator for Java and .NET, supporting complex calculations and custom functions. -
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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. ... -
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PcapPlusPlus
Multiplatform C++ library for parsing and crafting of network packets
...PcapPlusPlus is designed to be efficient and lightweight. It enables amazingly fast packet processing with minimum overhead. PcapPlusPlus is fully supported on Windows, MacOS, Linux, Android and FreeBSD. You can download pre-built binaries for each platform or build it from source. PcapPlusPlus is available in popular package managers such as Homebrew and Conan. PcapPlusPlus provides an easy-to-use interface for reading and writing network packets into files.It supports the most popular file formats which are PCAP and PCAPNG. -
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GSL
Guidelines support library
The Guidelines Support Library (GSL) contains functions and types that are suggested for use by the C++ Core Guidelines maintained by the Standard C++ Foundation. This repo contains Microsoft's implementation of GSL. The entire implementation is provided inline in the headers under the gsl directory. The implementation generally assumes a platform that implements C++14 support. While some types have been broken out into their own headers (e.g. gsl/span), it is simplest to just include... -
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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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Vanilla.PDF
Cross-platform SDK for creating and modifying PDF documents
...It requires no external runtime dependencies, making it lightweight and ideal for embedding into desktop applications, servers, or automation pipelines. The SDK offers full cross-platform support including Windows, Linux, macOS, and Android, with builds available for major compilers and architectures. Vanilla.PDF supports advanced PDF features such as adding CMS (PKCS#7) digital signatures, modifying content streams and metadata, and working with encryption and permissions based on standard PDF security models. It includes tools for parsing PDF internals like cross-reference tables and objects, providing fine-grained document analysis capabilities. ... -
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Cardboard SDK
Open source Cardboard SDK and samples
This SDK provides everything you need to create your own Virtual Reality (VR) experiences for Google Cardboard. It supports essential VR features, such as motion tracking, stereoscopic rendering, and user interaction via the viewer button. With these capabilities, you can build entirely new VR experiences, or enhance existing apps with VR capabilities. You can use the Cardboard SDK to turn a smartphone into a VR platform. A smartphone can display 3D scenes with stereoscopic rendering, track... -
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Trust Wallet Core
Cross-platform, cross-blockchain wallet library
...It is a core part of the popular Trust Wallet, and some other projects. Most of the code is C++ with a set of strict C interfaces, and idiomatic interfaces for supported languages: Swift for iOS and Java for Android. Wallet Core supports more than 50 blockchains, Bitcoin, Ethereum, Binance Chain, and most major blockchain platforms. For new coins, you need to implement address handling and signing functionality in the wallet-core. For new coins on already supported blockchains or variations of already supported blockchains, please consider proper reuse of existing implementation. ... -
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ggwave
Tiny data-over-sound library
...It supports use cases such as device pairing, offline broadcasting, audio QR codes, authorization, and microcontroller communication. Bindings and examples are available for browsers, Python, Node.js, iOS, Android, Arduino, ESP32, and Raspberry Pi Pico. Command-line, graphical, WebAssembly, and file-based demonstrations are included. -
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Nitro Modules
Insanely fast native C++, Swift or Kotlin modules
...Developers define interfaces in TypeScript and implement the native behavior in C++, Swift, Kotlin, or Java. Nitro supports cross-platform C++ modules as well as platform-native iOS and Android implementations. It is useful for React Native teams that need high-performance native functionality, strongly typed bindings, and lower bridge overhead. -
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Halide
A language for fast, portable data-parallel computation
Halide is a programming language for fast, portable data-parallel computation. It was designed to make writing high-performance image and array processing code much easier on modern machines. It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an... -
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XNNPACK
High-efficiency floating-point neural network inference operators
XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch... -
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Infer
A static analyzer for Java, C, C++, and Objective-C
...Anyone can use Infer to intercept critical bugs before they have shipped to users, and help prevent crashes or poor performance. Infer checks for null pointer exceptions, resource leaks, annotation reachability, missing lock guards, and concurrency race conditions in Android and Java code. Infer checks for null pointer dereferences, memory leaks, coding conventions and unavailable API’s. Start with the Getting Started guide and our other docs to download and try Infer yourself. Infer is still evolving, and we want to continue to develop it in the open. We hope it will be useful for other projects, so please try it out or contribute to it, join the community and give us feedback! -
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libphonenumber
Library for parsing and validating international phone numbers
Google's common Java, C++ and JavaScript library for parsing, formatting, and validating international phone numbers. The Java version is optimized for running on smartphones, and is used by the Android framework since 4.0 (Ice Cream Sandwich). libphonenumber gets the type of the number based on the number itself; able to distinguish Fixed-line, Mobile, Toll-free, Premium Rate, Shared Cost, VoIP, Personal Numbers, UAN, Pager, and Voicemail (whenever feasible). Provides valid example numbers for all countries/regions, with the option of specifying which type of example phone number is needed. ... -
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QxOrm library
C++ Qt ORM (Object Relational Mapping) and ODM library
...QxEntityEditor is multi-platform (available for Windows, Linux, and Mac OS X) and generates native code for all environments, desktop (Windows, Linux, Mac OS X), embedded and mobile (Android, iOS, Windows Phone, Raspberry Pi, etc.). A user manual (documentation) for QxEntityEditor application is available on QxOrm website. -
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Plog
Portable, simple and extensible C++ logging library
Portable, simple and extensible C++ logging library. Plog is a C++ logging library that is designed to be as simple, small and flexible as possible. It is created as an alternative to existing large libraries and provides some unique features as CSV log format and wide string support. -
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POCO
Cross-platform C++ libraries for building network applications
...Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++ Libraries for 15+ years and deployed it in millions of devices. Create software for connected embedded devices running Linux, Windows Embedded or QNX. Create cross-platform backends in C++ for iOS and Android applications and combine it with a native or HTML5-based user interface. Create software for IoT devices that talk to cloud backends over HTTP REST APIs. See macchina.io for an IoT platform built with POCO. -
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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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Yoga
Cross-platform layout engine which implements Flexbox
...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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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
...Additional support libraries and examples are provided in separate repositories, links to these are provided below. The software currently builds under Linux (desktops variants through to Jetson & Raspberry Pi), Windows (VisualStudio, MinGW & Cygwin), Android, and macOS & iOS (using MoltenVk).