Search Results for "cpu miner android"
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Showing 179 open source projects for "cpu miner android"
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XMRig
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
High performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT CPU/GPU miner, RandomX benchmark, and stratum proxy. XMRig is a high-performance, open-source, cross-platform RandomX, KawPow, CryptoNight, and AstroBWT unified CPU/GPU miner and RandomX benchmark. Official binaries are available for Windows, Linux, macOS, and FreeBSD. The preferred way to configure the miner is the JSON config file as it is more flexible and human-friendly. ... -
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CPU Features
A cross platform C99 library to get cpu features at runtime
cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. 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. ... -
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Vectras VM
It's a Virtual Machine App for Android Which is Based on QEMU
Vectras VM Android is a mobile virtualization platform built on top of QEMU that enables users to run full desktop operating systems directly on Android devices. It functions as a complete virtual machine manager, allowing the emulation of systems such as Windows, Linux, macOS, and even other Android environments within a single app. The project is designed to push the limits of mobile hardware by leveraging modern smartphone CPUs and RAM configurations to simulate full computing... -
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. -
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5
Android Contacts, Reborn
Android Contacts API Library written in Kotlin
This library provides a complete set of APIs to do everything you need with Contacts in Android. You no longer have to deal with the Contacts Provider, database operations, and cursors. Whether you just need to get all or some Contacts for a small part of your app (written in Kotlin or Java), or you are looking to create your own full-fledged Contacts app with the same capabilities as the AOSP Android Contacts app and Google Contacts app, this library is for you. -
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SwiftShader
SwiftShader is a high-performance CPU-based implementation
SwiftShader is Google’s high-performance CPU-based implementation of the Vulkan 1.3 graphics API, designed to provide a hardware-independent rendering solution for 3D graphics. Unlike traditional GPU drivers, SwiftShader executes graphics commands entirely on the CPU, making it ideal for environments where dedicated graphics hardware is unavailable or unsuitable. It acts as a drop-in replacement for Vulkan drivers, allowing existing applications to run seamlessly by redirecting API calls through its software-based rendering engine. ... -
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ffmpeg-android-maker
Contains a script that assembles FFmpeg library for Android
ffmpeg-android-maker is a build automation tool designed to compile FFmpeg for Android platforms with support for various codecs and libraries. It simplifies the complex process of cross-compiling FFmpeg by providing scripts that handle dependencies, configuration, and build steps. The project supports multiple architectures, enabling developers to generate binaries compatible with different Android devices. It includes options for enabling or disabling specific codecs and features, allowing... -
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Fast Android Networking
A Complete Fast Android Networking Library that also supports HTTP/2
...No other library provides a simple interface for doing all types of things in networking like setting priority, canceling, etc. As it uses Okio , No more GC overhead in android applications. Okio is made to handle GC overhead while allocating memory. Okio does some clever things to save CPU and memory. -
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Python Bitcoin Miner
mining with cpu and gpu.
Powerful tool. -
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QtScrcpy
Android real-time display control software
QtScrcpy connects to Android devices via USB (or via TCP/IP) for display and control. It does NOT require the root privileges. It supports three major platforms: GNU/Linux, Windows and MacOS. You can write your own script to map keyboard and mouse actions to touches and clicks of the mobile phone according to your needs. A script for "PUBG mobile" and TikTok mapping is provided by default. Once enabled, you can play the game with your keyboard and mouse as the PC version. or you can use... -
11
LiteRT-LM
LiteRT-LM is Google's production-ready inference framework
LiteRT-LM is Google’s open-source inference framework for deploying large language models on edge devices. It is built for production-oriented local LLM execution across Android, iOS, desktop, web, embedded, and IoT environments. The framework focuses on performance, hardware acceleration, and efficient model serving close to the user instead of relying only on remote cloud inference. It supports CPU execution across major platforms and adds GPU or NPU acceleration where available. LiteRT-LM is especially relevant for developers building private, low-latency AI features on phones, laptops, Raspberry Pi-style devices, and other edge hardware. ... -
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Citron Neo
Research software designed to orchestrate virtual environments
Citron Neo is an advanced emulator project focused on replicating complex system environments with high performance and flexibility. It is designed to emulate modern console behavior while integrating improvements in CPU emulation, GPU rendering, and memory management. The project incorporates optimizations such as dynamic recompilation and Vulkan-based rendering to enhance performance across supported platforms. It also includes continuous updates that improve compatibility with games and... -
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xManager
Ad-Free, New Features & Freedom
xManager supports Android. Chrome OS and Windows 11 now have Android support so xManager technically works there (and any system that can emulate Android). There are no current plans to natively support Windows, MacOS, Linux, etc. Android devices have CPUs. Merged is a combination of Armeabi-v7a and Arm64-v8a architecture. Armeabi-v7a is the modern arch that supports floating point operations, and a multi-threading safe is used on multi-cpu devices. ... -
14
Flutter Server Box
ServerBox - server status & toolbox
Flutter Server Box (aka ServerBox) is a Flutter app that monitors and manages Linux servers. It provides charts for CPU, memory, disk, network, and tools like SSH terminal, file manager, and commands via dartssh2 & xterm.dart. Available on iOS, Android, desktop, and TV platforms, it's community-acclaimed as a lightweight alternative to Termius/ServerCat. -
15
Kitten TTS
State-of-the-art TTS model under 25MB
KittenTTS is an open-source, ultra-lightweight, and high-quality text-to-speech model featuring just 15 million parameters and a binary size under 25 MB. It is designed for real-time CPU-based deployment across diverse platforms. Ultra-lightweight, model size less than 25MB. CPU-optimized, runs without GPU on any device. High-quality voices, several premium voice options available. Fast inference, optimized for real-time speech synthesis. -
16
Hypatia
A realtime malware scanner
...The project is offered under an AGPL-3.0 license and is archived in its original repository, reflecting a historical effort to create a community-reviewable FOSS security tool for Android devices. Hypatia’s design targets performance and efficiency, keeping memory usage modest and enabling users to control which signature sets are active. Its real-time file observation uses multi-threaded scanning to leverage device CPU resources while striving for a negligible user experience impact. -
17
whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples.... -
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emgucv
Cross platform .Net wrapper to the OpenCV image processing library
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages. The wrapper can be compiled by Visual Studio and Unity, it can run on Windows, Linux, Mac OS, iOS and Android. -
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AndroidLibXrayLite
Lightweight Android library that bundles the Xray networking core
AndroidLibXrayLite is a lightweight Android library that bundles the Xray networking core as an embeddable component for apps. Its purpose is to provide a minimal, size-optimized build of the native core with a clear Java/Kotlin interface to start, stop, and configure network tunnels. By exposing the core as an AAR with per-ABI artifacts, it keeps application footprints small while supporting common CPU architectures. -
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xm-crypter-miner
Power of a computer or specialized hardware to mine cryptocurrencies
A crypto miner tool that is updated from cpuminer and is a software application designed to harness the processing power of a computer or specialized hardware to mine cryptocurrencies. It performs complex mathematical calculations to validate and secure transactions on a blockchain network, helping to maintain the decentralized nature of the currency. The tool typically supports various cryptocurrencies and allows users to configure parameters such as mining algorithms, pool settings, and... -
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OpenCV
Open Source Computer Vision Library
OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library for computer vision, machine learning, and image processing. It enables developers to build real-time vision applications ranging from facial recognition to object tracking. OpenCV supports a wide range of programming languages including C++, Python, and Java, and is optimized for both CPU and GPU operations. -
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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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melonDS
DS emulator, sorta
melonDS aims at providing fast and accurate Nintendo DS emulation. While it is still a work in progress, it has a pretty solid set of features. Firmware boot (not direct boot) requires a BIOS/firmware dump from an original DS or DS Lite. DS firmwares dumped from a DSi or 3DS aren't bootable and only contain configuration data, thus they are only suitable when booting games directly. DS BIOS dumps from a DSi or 3DS can be used with no compatibility issues. -
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Unicorn Engine
Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc
...Native support for Windows & *nix (with macOS, Linux, Android, *BSD & Solaris confirmed). High performance by using the Just-In-Time compiler technique. Support fine-grained instrumentation at various levels. Thread-safe by design. Distributed under free software license GPLv2. Another significant change on this version is the addition of some new APIs to allow better control on how the core engine works. -
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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...