Search Results for "android x86 apps"
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Showing 25 open source projects for "android x86 apps"
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1
Hippy
Tool to build cross-platform and high-performance awesome apps
...For Android, we recommend using the real cellphone for better develop experience, because Hippy is using X5 JS engine which can't support x86 simulator, as well as ARM simulator has a low performance. For iOS, we recommend to use iOS simulator when first try. However, you can change the Xcode configuration to install the app to iPhone if you are an iOS expert. -
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CPU Features
A cross platform C99 library to get cpu features at runtime
...It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. 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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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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Blynk C++ Library
Blynk library for embedded hardware
Blynk is the most popular Internet of Things platform for connecting any hardware to the cloud, designing apps to control them, and managing your deployed products at scale. With Blynk Library you can connect over 400 hardware models (including ESP8266, ESP32, NodeMCU, all Arduinos, Raspberry Pi, Particle, Texas Instruments, etc.)to the Blynk Cloud. With Blynk apps for iOS and Android apps you can easily drag-n-drop graphic interfaces for any DIY or commercial project. ... -
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5
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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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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Perfetto
Production-grade client-side tracing, profiling, and analysis
...Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. It integrates natively with Android (replacing older atrace/Systrace paths) and can sit alongside custom instrumentation in apps or services through its SDKs. -
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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... -
9
ReDex
A bytecode optimizer for Android apps
ReDex is an Android bytecode (dex) optimizer originally developed at Facebook. It provides a framework for reading, writing, and analyzing .dex files, and a set of optimization passes that use this framework to improve the bytecode. An APK optimized by ReDex should be smaller and faster than its source. Redex provides a framework for reading, writing, and analyzing .dex files, and a set of optimization passes that use this framework to improve the bytecode. An APK optimized by Redex should... -
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10
MNN
MNN is a blazing fast, lightweight deep learning framework
...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. -
11
FlatBuffers
Memory Efficient Serialization Library
FlatBuffers is an open source, cross-platform serialization library designed for maximum memory efficiency. Originally created at Google for game development and other performance-critical apps, FlatBuffers has the unique ability of allowing you to directly access serialized data without having to parse or unpack beforehand. Since the only memory needed to access your data is that of the buffer, it is also very memory efficient and fast. FlatBuffers supports Windows, MacOS, Linux and Android, as well as any other operating systems with a recent C++ compiler. ... -
12
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. -
13
ncnn
High-performance neural network inference framework for mobile
ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including... -
14
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. ... -
15
Cutelyst
Web Framework built on top of Qt, using the approach of Catalyst
Create fast and modern web applications that share the same code as your desktop or mobile apps. 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. -
16
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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Tink
A library that provides cryptographic APIs that are easy and secure
Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse. Tink is an open-source cryptography library written by cryptographers and security engineers at Google. Tink's secure and simple APIs reduce common pitfalls through user-centered design, careful implementation and code reviews, and extensive testing. Tink helps users without a cryptography background safely implement common... -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's... -
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The LiquidCore Project
Node.js virtual machine for Android and iOS
LiquidCore enables Node.js virtual machines to run inside Android and iOS apps. It provides a complete runtime environment, including a virtual file system. LiquidCore also provides a convenient way for Android developers to execute raw JavaScript inside of their apps, as iOS developers can already do natively with JavaScriptCore. One of the newest features in 0.7.0+ is the ability to automatically bundle JavaScript files in the application build process. ... -
20
Apache Weex
A framework for building Mobile cross-platform UI
Weex is a framework for building performant mobile apps with modern web technology. 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. ... -
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nuBASIC
BASIC language interpreter (multiplatform)
nuBASIC is an implementation of an interpreter of the BASIC programming language and IDE. It has been designed mainly for educational purposes and it is suitable for simple games, educational or small business programs. -
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Simd
High performance image processing library in C++
...The algorithms are optimized with using of different SIMD CPU extensions. In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows, Android and Linux, MSVS, G++ and Clang compilers, MSVS project and CMake build systems. -
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RapidJSON
A fast JSON parser/generator for C++ with both SAX/DOM style API
RapidJSON is a JSON parser and generator for C++. It was inspired by RapidXml. RapidJSON is small but complete. It supports both SAX and DOM style API. The SAX parser is only a half thousand lines of code. RapidJSON is fast. Its performance can be comparable to strlen(). It also optionally supports SSE2/SSE4.2 for acceleration. RapidJSON is self-contained and header-only. It does not depend on external libraries such as BOOST. It even does not depend on STL. RapidJSON is memory-friendly.... -
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BxEngine
BxEngine For Marmalade And QT
...png decoder / pathfind logic / scene system / memory system / telex system / particle / STL (named BxVar) / pooling / singleton / http query cache system / xml parser / express fixed float / dynamical resource loading / BEKON parser (better json) / THROW (dynamical parameter) / software renderer / animation-tool / particle-tool (Marmalade 7.0.0) https://www.madewithmarmalade.com/downloads/7.0/7.0.0/marmalade-sdk-7.0.0-353650-windows.exe (QT 5.2.1) http://download.qt-project.org/official_releases/qt/5.2/5.2.1/qt-opensource-windows-x86-android-5.2.1.exe (Medusa AnimationTool) http://cafe.naver.com/bxengineformarmalade/64 (Typhon ParticleTool) http://cafe.naver.com/bxengineformarmalade/66 ***** Next version! : https://github.com/BonexGu/Bx2D ***** -
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Funambol is the leading mobile cloud sync solution . The software in this repository is the open source version which consists of a sync server, clients/apps/sdks for mobile devices and computers, and connector software to interface with other systems. The open source version syncs PIM data such as contacts (address books), calendars (agendas), tasks and notes. The commercial version (unavailable on sourceforge) syncs additional data and media.
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