Search Results for "linuxdeployqt-aarch64"
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Showing 49 open source projects for "linuxdeployqt-aarch64"
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linuxdeployqt
Makes Linux applications self-contained by copying in the libraries
Makes Linux applications self-contained by copying in the libraries and plugins that the application uses, and optionally generates an AppImage. Can be used for Qt and other applications. This Linux Deployment Tool, linuxdeployqt, takes an application as input and makes it self-contained by copying in the resources that the application uses (like libraries, graphics, and plugins) into a bundle. The resulting bundle can be distributed as an AppDir or as an AppImage to users, or can be put into cross-distribution packages. It can be used as part of the build process to deploy applications written in C, C++, and other compiled languages with systems like CMake, qmake, and make. ... -
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FEX
A fast usermode x86 and x86-64 emulator for Arm64
FEX allows you to run x86 and x86-64 binaries on an AArch64 host, similar to qemu-user and box86. It has native support for a rootfs overlay, so you don't need to chroot, as well as some thunklibs so it can forward things like GL to the host. FEX presents a Linux 5.0 interface to the guest, and supports both AArch64 and x86-64 as hosts. FEX is very much work in progress, so expect things to change. -
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libnx
Library for Switch Homebrew
Nintendo Switch AArch64-only userland library. Based on libctru. Library for Switch Homebrew. -
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hangover
Hangover runs simple Win32 applications on arm64 Linux
This is Hangover, a project started by André Zwing and Stefan Dösinger in 2016 that currently can run x86_32 Windows applications on aarch64 Wine. Hangover uses various emulators as DLLs (pick one that suits your needs, e.g. works for you) to only emulate the application you want to run instead of emulating a complete Wine installation. As soon as the application does a Windows/Wine system call, say NtUserCreateWindowEx, it's executed outside the emulator (read non-emulated, fast, native). ... -
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gtkcord4
GTK4 Discord client in Go, attempt #4
GTK4 Discord client in Go, attempt #4. gtkcord4 needs GTK4, object-introspection, and optionally libcanberra. If compiling, then the library headers are also required. gtkcord4's CI automatically builds each release for Linux x86_64 and aarch64. See the Releases page for the binaries. -
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eCapture
Capturing SSL/TLS plaintext without a CA certificate using eBPF
Capture SSL/TLS text content without a CA certificate using eBPF. Supports Linux/Android kernel versions x86_64 4.18 and above, aarch64 5.5 and above. Does not support Windows and macOS systems. -
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DuckStation
Fast PlayStation 1 emulator for x86-64/AArch32/AArch64
DuckStation is an simulator/emulator of the Sony PlayStation(TM) console, focusing on playability, speed, and long-term maintainability. The goal is to be as accurate as possible while maintaining performance suitable for low-end devices. "Hack" options are discouraged, the default configuration should support all playable games with only some of the enhancements having compatibility issues. A "BIOS" ROM image is required to to start the emulator and to play games. You can use an image from... -
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orjson
Fast, correct Python JSON library supporting dataclasses, datetimes
...It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does not support PyPy. Releases follow semantic versioning and serializing a new object type without an opt-in flag is considered a breaking change. -
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DynamoRIO
Dynamic Instrumentation Tool Platform
...Unlike many dynamic tool systems, DynamoRIO is not limited to insertion of callouts/trampolines and allows arbitrary modifications to application instructions via a powerful IA-32/AMD64/ARM/AArch64 instruction manipulation library. DynamoRIO provides efficient, transparent, and comprehensive manipulation of unmodified applications running on stock operating systems (Windows, Linux, or Android) and commodity IA-32, AMD64, ARM, and AArch64 hardware. Mac OSX support is in progress. -
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Box64
Linux Userspace x86_64 Emulator with a twist, targeted at ARM64 Linux
...(There’s a long list, among them are Undertale, A Risk of Rain, or Cook Serve Delicious.) Box64 is the 64bits version of Box86. It is used to run x86_64 binaries on ARM64 (i.e. aarch64) Linux. There are some YouTube channels where you can see box86 and box64 in action: MicroLinux, PILabs, and The Byteman at least. -
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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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mlua
High level Lua 5.4/5.3/5.2/5.1 and Roblox Luau bindings to Rust
...Started as rlua fork, mlua supports Lua 5.4, 5.3, 5.2, 5.1 (including LuaJIT) and Roblox Luau and allows to writing of native Lua modules in Rust as well as the use of Lua in a standalone mode. mlua tested on Windows/macOS/Linux including module mode in GitHub Actions on x86_64 platform and cross-compilation to aarch64 (other targets are also supported). -
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Melody
Melody is a language that compiles to regular expressions
Melody is a language that compiles to regular expressions and aims to be more easily readable and maintainable. All quantifiers can be preceded by lazy to match the least amount of characters rather than the most characters (greedy). -
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box86
Linux Userspace x86 Emulator targeted at ARM Linux devices
...(There’s a long list, among them are Undertale, A Risk of Rain, or Cook Serve Delicious.) Box64 is the 64-bit version of Box86. It is used to run x86_64 binaries on ARM64 (i.e. aarch64) Linux. It can also run on RiSC-V and Loongarch machines. -
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GHDL
VHDL 2008/93/87 simulator
...By using a code generator (LLVM, GCC or, x86_64/i386 only, a built-in one), it is much faster than any interpreted simulator. It can handle very large designs, such as leon3/grlib. GHDL runs on GNU/Linux, Windows and macOS; on x86, x86_64, armv6/armv7/aarch32, aarch64 and ppc64. You can freely download nightly assets, use OCI images (aka Docker/Podman containers), or try building it on your own machine. -
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Unicorn Engine
Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc
Unicorn is a lightweight multi-platform, multi-architecture CPU emulator framework. Highlight features. Multi-architectures: ARM, ARM64 (ARMv8), m68k, MIPS, PowerPC, RISC-V, S390x (SystemZ), SPARC, TriCore & x86 (include x86_64). Clean/simple/lightweight/intuitive architecture-neutral API. Implemented in pure C language, with bindings for Pharo, Crystal, Clojure, Visual Basic, Perl, Rust, Haskell, Ruby, Python, Java, Go, D, Lua, JavaScript, .NET, Delphi/Pascal & MSVC available. Native... -
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NVIDIA Linux Open GPU Kernel Module
NVIDIA Linux open GPU kernel module source
...Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 530.41.03 driver release. Currently, the kernel modules can be built for x86_64 or aarch64. If cross-compiling, set these variables on the make command line. Any reasonably modern version of GCC or Clang can be used to build the kernel modules. Note that the kernel interface layers of the kernel modules must be built with the toolchain that was used to build the kernel. This code base is shared with NVIDIA's proprietary drivers, and various processing is performed on the shared code to produce the source code that is published here. ... -
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conky
Light-weight system monitor for X
Conky is a free, light-weight system monitor for X, that displays any kind of information on your desktop. Conky is free software and runs in X on Linux and BSD. Originally a fork of Torsmo, Conky's torsmo-based code is BSD licensed. New code in Conky has been licensed under GPL 3.0. Since its inception, Conky has changed significantly from its predecessor, while maintaining simplicity and configurability. Conky can display just about anything, either on your root desktop, in its own window.... -
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CTranslate2
Fast inference engine for Transformer models
...The model serialization and computation support weights with reduced precision: 16-bit floating points (FP16), 16-bit integers (INT16), and 8-bit integers (INT8). The project supports x86-64 and AArch64/ARM64 processors and integrates multiple backends that are optimized for these platforms: Intel MKL, oneDNN, OpenBLAS, Ruy, and Apple Accelerate. -
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GEF
Modern experience for GDB with advanced debugging capabilities
GEF is a set of commands for x86/64, ARM, MIPS, PowerPC and SPARC to assist exploit developers and reverse-engineers when using old-school GDB. It provides additional features to GDB using the Python API to assist during the process of dynamic analysis and exploit development. Application developers will also benefit from it, as GEF lifts a great part of regular GDB obscurity, avoiding repeating traditional commands or bringing out the relevant information from the debugging runtime. -
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oneDNN
oneAPI Deep Neural Network Library (oneDNN)
...The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following architectures: Arm* 64-bit Architecture (AArch64), NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. Deep learning practitioners should use one of the applications enabled with oneDNN. -
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SpotUPnP/SpotRaop
Streamer from Spotify to UPnP or AirPlay players
This application is a self-contained program that detects UPnP/DLNA or AirPlay devices in your local network and expose them as Spotify Connect players. It runs on Windows, Linux (x86, x86_64, arm, aarch64, mips, sparc, powerpc), MacOS (arm64 and x86_64), FreeBSD (x86_64) and Solaris (x86_64). Just go there https://github.com/philippe44/SpotConnect#readme for more instructions -
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laz4android
lazarus for android package
...Thanks the FreePascal team and the Lazarus team. Now Laz4Android is only run on Windows.Sorry for this! Last update:2024-07-17 FPC: 3.2.2 (win32/win64/arm-android/aarch64-android/i386-android/x86_64-android/jvm-android) Lazarus:3.4 Android NDK: r19c 1.Update to Lazarus 3.4 source + FPC 3.2.2 I recommend using laz4android + LAMW(Lazarus Android Module Wizard) to develop android apps. LAMW on this: https://github.com/jmpessoa/lazandroidmodulewizard http://forum.lazarus.freepascal.org/index.php/topic,21919.0.html Please see the readme.txt. ...
