Search Results for "android-=x86"
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Showing 212 open source projects for "android-=x86"
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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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Android Runtime for NativeScript
NativeScript for Android using v8
...This is exactly what the "Runtime" parts of NativeScript are responsible for. The Android Runtime may be thought of as "The Bridge" between the JavaScript and Android worlds. A NativeScript application for Android is a standard native package (apk) that besides the JavaScript files embeds the runtime as well. -
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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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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 Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. ... -
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Halide
A 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 in-memory representation of a Halide pipeline using Halide's C++ API. This representation can then be compiled to an object file, or a JIT-compile and run in the same process. ... -
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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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mold
A Modern Linker
...The tool is designed to integrate seamlessly into existing build systems, requiring minimal configuration changes to adopt. Mold supports a wide range of architectures, including x86-64, ARM, RISC-V, and PowerPC, making it suitable for diverse development environments. -
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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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libGDX
Desktop/Android/HTML5/iOS Java game development framework
libGDX is a cross-platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, macOS, Android, your browser and iOS. libGDX provides a well-tried and robust environment for rapid prototyping and fast iterations. libGDX does not force a specific design or coding style on you; it rather gives you the freedom to create a game the way you prefer. Publish your games on Windows, macOS, Linux (including the RPi!), Android, iOS, and HTML5, all with the same code base. libGDX comes with batteries included. ... -
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edb-debugger
edb is a cross-platform AArch32/x86/x86-64 debugger
edb is a cross platform AArch32/x86/x86-64 debugger. It was inspired by Ollydbg, but aims to function on AArch32, x86, and x86-64 as well as multiple OS's. Linux is the only officially supported platform at the moment, but FreeBSD, OpenBSD, OSX, and Windows ports are underway with varying degrees of functionality. -
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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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APK Studio
Open-source, cross platform Qt based IDE for reverse-engineering
Open-source, cross-platform Qt based IDE for reverse-engineering Android application packages. It features a friendly IDE-like layout including code editor with syntax highlighting support for *.smali code files. If you are just willing to quickly decompile an Android app, you can make use of DeAPK - Online APK Decompiler which lets you decompile an Android app using apktool and jadx. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
...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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Flutter-WebRTC
WebRTC plugin for Flutter Mobile/Desktop/Web
WebRTC plugin for Flutter Mobile/Desktop/Web. Additional platform/OS support from the other community. -
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Filament
Real-time physically based rendering engine for Android, iOS, and more
...For example, Filament does not compile materials at run time. Instead, we provide a command line tool (matc) that does this offline. Filament is a physically based rendering (PBR) engine for Android. The goal of Filament is to offer a set of tools and APIs for Android developers that will enable them to create high quality 2D and 3D rendering with ease. For both artists and developers, our system will rely on as few parameters as possible to reduce trial and error and allow users to quickly master the material model. A physically based approach must not preclude non-realistic rendering. ... -
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FreeReflection
A library that lets you use reflection without any restriction
...FreeReflection focuses on compatibility across Android versions and minimizing disruption to normal application behavior. It enables deeper exploration of the Android framework. Overall, it expands the capabilities of developers working beyond standard SDK limitations. -
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RenderDoc
RenderDoc is a stand-alone graphics debugging tool
RenderDoc is a free MIT licensed stand-alone graphics debugger that allows quick and easy single-frame capture and detailed introspection of any application using Vulkan, D3D11, OpenGL & OpenGL ES or D3D12 across Windows 7 - 10, Linux, Android, Stadia, or Nintendo Switch™. I work on RenderDoc myself and you can always contact me with any problems or comments. I'll respond to you directly and personally, and I'm used to helping people with private or NDA'd projects. RenderDoc is 100% open source and development all happens on github. Check out the source and see how any feature is implemented, report a bug you've found, or request a new feature or improvement. ... -
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Shaderc
A collection of tools, libraries, and tests for Vulkan shader
Shaderc is a collection of tools and libraries for compiling shaders—small programs that run on GPUs—into SPIR-V, the intermediate representation used by the Vulkan graphics API. It provides both a command-line tool (glslc) and a C/C++ library (libshaderc) that wrap the functionality of glslang (the Khronos reference compiler for GLSL) and SPIRV-Tools to deliver a modern, scriptable, and efficient shader compilation workflow. The glslc compiler offers a GCC/Clang-like interface for building... -
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FlatBuffers
Memory Efficient Serialization Library
...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. It supports a great number of programming languages, including C++, C#, C, Go, Java, Kotlin, JavaScript, Lobster, Lua, TypeScript, PHP and many others in progress. -
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OpenH264
Open Source H.264 Codec
Cisco has taken their H.264 implementation and open-sourced it under BSD license terms. Development and maintenance will be overseen by a board from the industry and the open-source community. Furthermore, we have provided a binary form suitable for inclusion in applications across a number of different operating systems and made this binary module available for download from the Internet. We will not pass on our MPEG-LA licensing costs for this module, and based on the current licensing... -
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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. -
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
...The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning inference workloads on a wide range of computer hardware, including small embedded x86 CPUs, APUs, discrete GPUs, and heterogeneous servers. AMD OpenVX is a highly optimized open-source implementation of the Khronos OpenVX™ 1.3 computer vision specification. It allows for rapid prototyping as well as fast execution on a wide range of computer hardware, including small embedded x86 CPUs and large workstation discrete GPUs. -
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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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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... -
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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.
