Open Source C++ Raspberry Pi Software
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C++ Raspberry Pi Software
View 2081 business solutionsBrowse free open source C++ Raspberry Pi Software and projects below. Use the toggles on the left to filter open source C++ Raspberry Pi Software by OS, license, language, programming language, and project status.
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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. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently. -
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Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full working server example is not bigger than the “Hello world”. Many projects/makefiles are ready to run to easily rebuild Snap7 in any platform without the need of be a C++ guru. Very detailed documentation provided. -
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Raspberry Pi Imager
Tool for creating bootable media for Raspberry Pi devices
Raspberry Pi Imager is an official utility designed to simplify the process of creating bootable storage media for Raspberry Pi devices. It provides a user-friendly graphical interface that allows users to select an operating system, download it if necessary, and write it directly to an SD card or USB drive. The tool supports Windows, macOS, and Linux, making it accessible to a broad range of users from beginners to advanced developers. It also includes customization options such as preconfiguring Wi-Fi credentials, hostnames, and SSH access before first boot. Advanced users can point the application to custom image repositories, enabling automated provisioning workflows and specialized deployments. Overall, Raspberry Pi Imager streamlines device setup and reduces friction when preparing new Raspberry Pi systems for development, education, or production use. -
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sherpa-onnx
Speech-to-text, text-to-speech, and speaker recognition
Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter. -
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Vosk Speech Recognition Toolkit
Offline speech recognition API for Android, iOS, Raspberry Pi
Vosk is an offline open source speech recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish. More to come. Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification. Speech recognition bindings are implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others. Vosk supplies speech recognition for chatbots, smart home appliances, and virtual assistants. It can also create subtitles for movies, and transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphones to big clusters. -
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OpenAuto
AndroidAuto headunit emulator
OpenAuto is an AndroidAuto(tm) headunit emulator based on aasdk library and Qt libraries. Main goal is to run this application on the RaspberryPI 3 board computer smoothly. The OpenAuto Pro is the most advanced Raspberry Pi-based, custom head-unit solution ready to retrofit your vehicle. The main functionality of the OpenAuto Pro software is to bring Users access to modern head-unit features like Bluetooth Hands-Free Profile, music streaming, integrated media player, navigation via Android Auto, screen mirroring, rear camera support, and many more interesting options and possibilities. Moreover, OpenAuto Pro runs under regular Raspberry PI OS (Buster), therefore You can use all accessories and software dedicated to Raspberry Pi. OpenAuto Pro version provides features like brightness control, volume control, support of Kodi and integration with the Raspberry PI OS (Raspbian Desktop). -
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Raspberry Pi GCC Toolchains
CI maintained precompiled GCC ARM/ARM64 Toolchains for Raspberry Pi
This project provides latest Raspberry Pi hardware optimized GCC Cross Compiler & Native (ARM & ARM64) automated Build-Scripts and Precompiled standalone Toolchains binaries, that will save you tons of time & thereby helps you get quickly started with software development on Pi. -
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berryboot
Berryboot -- Boot menu / OS installer for ARM devices
Berryboot is a simple operating system installer and boot selection screen for ARM devices such as the Raspberry Pi and Cubieboard. It allows you to put multiple Linux distribution on a single SD card. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. A WeightsProvider specialization can implement any type of loading, caching, and prefetching of the model parameters. -
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Linux Air Combat
Combat Flight Simulator for LINUX. WW2. Network and VOIP. Open-source.
WW2 Combat Flight Simulator. Free. Current Version: 9.94. This is now the world's leading open-source combat flight sim for LINUX. Linux Air Combat ("LAC") runs on almost any desktop LINUX system (even Steam Deck & Raspberry Pi) and generates smooth, high-performance flight. If it runs TOO fast on your hardware (framerates beyond 100 FPS), you should activate LAC's built-in FrameRate Limiter as documented here: https://askmisterwizard.com/2019/LinuxAirCombat/FrameRateLimiter.htm Clean, open source code provides an option to compile yourself, or use our precompiled executable AppImage to eliminate compiling on all popular X86 LINUX distros. Control flight and views with mouse and keyboard, console game controller, or joystick, all easily configured from prominent configuration menus. Learn all about LAC from our primary, official Web Page: http://askmisterwizard.com/2019/LinuxAirCombat/LacOnlineDocs.htm Recent video clip: https://youtu.be/C77C-e8axWs -
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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. It's a pure WYSIWG experience, no coding on iOS or Android required. Hardware can connect to Blynk Cloud (open-source server) over the Internet using hardware connectivity available on your board (like ESP32), or with the use of various shields (Ethernet, WiFi, GSM, LTE, etc). Blynk Cloud is available for every user of Blynk for free. Direct connection over Bluetooth is also possible. Check the included examples on how to use different types of connections (transports) and explore Blynk features. -
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DeepSpeech
Open source embedded speech-to-text engine
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page. -
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xsnow
Let it snow on your desktop
Finally, a working xsnow for Gnome, KDE, etc. Based on the original xsnow-1.42 created by Rick Jansen, after the xsnow-2019 conference in Antas (Spain) we now have available a xsnow that works on many desktop environments, even Raspian. By request of many beta-testers, a graphical front end has been created as well. For non-Unix users, there is https://sourceforge.net/projects/wsnow . -
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RF24
OSI Layer 2 driver for nRF24L01 on Arduino & Raspberry Pi/Linux
Optimized high-speed driver for nRF24L01(+) 2.4GHz wireless transceiver. More compliant with the manufacturer specified operation of the chip, while allowing advanced users to work outside the recommended operation. Utilize the capabilities of the radio to their full potential via Arduino. More reliable, responsive, bug-free and feature-rich. Easy for beginners to use, with well-documented examples and features. Consumed with a public interface that's similar to other Arduino standard libraries. OSI Network Layer for multi-device communication. Create a home sensor network. -
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Udp2raw-tunnel
Turns UDP traffic into encrypted UDP/fakeTCP/ICMP traffic
A tunnel which turns UDP traffic into encrypted fakeTCP/UDP/ICMP traffic by using Raw Socket, helps you bypass UDP FireWalls(or unstable UDP environment). When used alone, Udp2raw tunnels only UDP traffic. Nevertheless, if you used udp2raw + any UDP-based VPN together, you can tunnel any traffic(include TCP/UDP/ICMP), currently, OpenVPN/L2TP/ShadowVPN and tinyfecVPN are confirmed to be supported. Linux host (including desktop Linux,Android phone/tablet,OpenWRT router,or Raspberry PI) with root account or cap_net_raw capability. ICMP/FakeTCP headers help you bypass UDP blocking, UDP QOS or improper UDP NAT behavior on some ISPs. In ICMP header mode,udp2raw works like an ICMP tunnel. UDP headers are also supported. In UDP header mode, it behaves just like a normal UDP tunnel, and you can just make use of the other features (such as encryption, anti-replay, or connection stalization). -
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NebiOS Alternative Mirror (Official)
A unique Ubuntu-based Linux OS with its own desktop and ecosystem.
NebiOS is an Ubuntu LTS-based Linux distribution with a custom desktop environment (NebiDE), built by one person. It combines a unique visual identity (Flat-Skeuomorphism), a widget-first desktop, and its own app format (.napp) into a cohesive platform — not just another reskin. Official mirror — use if the main site has download issues. Main site: https://nebios.org 📌 This mirror page is updated less frequently than the main site. For the latest information, visit https://nebios.org ⚠️ Don't download from unknown sources. ⚠️ Virtual machines: NebiOS X requires GPU acceleration. Most hypervisors (VirtualBox, VMware, GNOME Boxes) will show degraded performance. QEMU with 3D acceleration enabled gives the best VM experience. See FAQ for details. System requirements and pre-installation info: https://nebios.org/download (select your version) Full FAQ: https://nebios.org/support/faq -
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hyperion-project
An open source ambient light for many systems
Hyperion is an open source ambient light implementation controlled primarily by an Raspberry Pi. The main features of Hyperion are: 1. Low CPU load. For a led string of 50 leds the CPU usage will typically be below 2% on a non-overclocked Pi. 2. Json interface which allows easy integration into scripts. 3. A command line utility allows easy testing and configuration of the color transforms (Transformation settings are not preserved over a restart at the moment...). 4. Priority channels are not coupled to a specific led data provider which means that a provider can post led data and leave without the need to maintain a connection to Hyperion. This is ideal for a remote application (like our Android app). 5. HyperCon. A tool which helps generate a Hyperion configuration file. The tool will also remember your settings from the previous run. 6 Android remote control to set a static color. 7.Kodi-checker which checks the playing and screensaver status of Kodi -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. 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). -
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GoldBug - Encrypted Communications
Chat Messenger. E-Mail-Client. Websearch. Filetransfer.
GoldBug is a decentralized & secure communication suite that offers an integrated e-mail client, an instant messenger & a file transfer. Also included is an URL-RSS-DB & a p2p web search. Current vers. w/ McEliece Algorithm. GoldBug has been 2013 - 2023 ten years just another Graphical User Interface of the Spot-On Encryption Suite. Main GUI features: Minimal & colorful Interface with Tabs in the East. Microsoft & Qt MinGW deprecated Win32 & for Compiling: ● https://sourceforge.net/p/goldbug/wiki/compiling As Spot-On implemented the minimal GB-concept & Nuvola Icons, GoldBug has now been fully integrated into Spot-On Win64: Just choose Tabs at East & Mini-View in Options - w/ Nuvola Icons of course! Voilá! & Many Thanks, Pro-Files can be found archived at ● current source: https://github.com/textbrowser/spot-on ● EN Manual: https://www.amazon.com/dp/3749435065 ● DE: https://compendio.github.io/goldbug-manual-de/ ● Study: https://www.amazon.com/asin/dp/3750408971 -
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DNP3 Protocol Code Win Linux download
DNP3 Protocol Source code Library Outstation and client Win Linux
v21.06.022 Complete implementation of DNP3 protocol standard including File transfer. Binary Input, Double-bit Binary Input, Binary Output, Counter Input, Analog Input, Analog output, Octect String, virtual terminal String. support CROB, analog output command with "select-before-operate" or "direct-execute" command execution modes Industry proven, tested with all leading test tools Get a free DNP3 (IEEE 1815) Development Bundle In the Development Bundle, We included DNP3 (IEEE 1815) Server & Client Simulator, Windows & Linux SDK. http://www.freyrscada.com/dnp3-ieee-1815.php Video Tutorial https://www.youtube.com/playlist?list=PL4tVfIsUhy1abOTxSed3l56FQux5Bn_gj Interoperability : http://www.freyrscada.com/docs/FreyrSCADA-DNP-Driver-Object-Variation-Support.pdf FreyrSCADA offering Static and Dynamic Libraries (DLL, LIB), DNP3 Source Code Library, Demo Kit (Raspberry Pi & BeagleBone Black) or Customer specific Hardware windows, Linux, QNX -
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DNP3 Protocol Win Linux test tool code
DNP3 Outstation and client simulator, Source code Library, win, Linux
DNP3 Protocol - v21.06.022 Complete implementation of DNP3 protocol standard including File transfer. Binary Input, Double-bit Binary Input, Binary Output, Counter Input, Analog Input, Analog output, Octect String, virtual terminal String. support CROB, analog output command with "select-before-operate" or "direct-execute" command execution modes Industry proven, tested with all leading test tools. DNP3 Protocol RTU Outstation Server Simulator, Client Master Simulator, Source Code Library, Static and Dynamic Libraries for Windows, Linux, QNX - C, C++, C# .NET Demo Kit (Raspberry Pi & BeagleBone Black) or Customer specific Hardware. http://www.freyrscada.com/dnp3-ieee-1815.php Get a free DNP3 Protocol Development Bundle In the Development Bundle, We included DNP3 Outstation Server & Master Client Simulator, Windows & Linux SDK. DNP3 protocol Video Tutorial https://www.youtube.com/playlist?list=PL4tVfIsUhy1abOTxSed3l56FQux5Bn_gj -
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IEC60870-5 101 tools code library
IEC 101 Server and Client Simulator Source code Library, Win, Linux
v21,06.022 IEC101 RTU Server Simulator, IEC101 Client Master Simulator, Static and Dynamic Libraries, Source Code Library. Driver for Windows, POSIX Linux, ARM , PowerPC, QNX & more * Make your RTU, protocol converter, Gateway, HMI, Data concentrator compatible with iec 101. * Download Free Evaluation Kit - IEC 60870-5-101 Development Bundle. * In the Bundle included IEC 101 Server & Client Simulator, Windows and Linux SDK, C# projects, Doxygen , Raspberry Pi, BeagleBone Demo library. http://www.freyrscada.com/iec-60870-5-101.php http://www.freyrscada.com/iec-60870-5-101-Server-Simulator.php http://www.freyrscada.com/iec-60870-5-101-Client-Simulator.php http://freyrscada.com/iec-60870-5-101-Windows-Software-Development-Kit(SDK).php http://freyrscada.com/iec-60870-5-101-Linux-Software-Development-Kit(SDK).php video tutorial: https://www.youtube.com/playlist?list=PL4tVfIsUhy1bsVPrJVW4nknHozdfcWE5u -
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Midbar
Advanced hardware data vault
Advanced hardware data vault designed to maximize the cost of unauthorized access to your data. https://midbar-official-website.netlify.app/ Attention: The latest ESP32 version of Midbar compiles successfully in Arduino IDE 1.8.9 with ESP32 package v2.0.8. There might be compatibility issues with other versions of the ESP32 package for Arduino IDE. STM32F401CCU6 + Arduino Uno Version V1.0: https://www.instructables.com/Midbar-STM32F401CCU6-Arduino-Uno-Version/ RTL8720DN + Arduino Uno V1.0: https://www.instructables.com/Midbar-RTL8720DN-Arduino-Uno-Version/ ESP8266 V2.0: https://www.instructables.com/Midbar-ESP8266-Version-V20/ STM32F407VET6 + Arduino Uno Version V1.0: https://www.instructables.com/Midbar-STM32F407VET6-Arduino-Uno-Version/ STM32F407VET6 Version V2.0: https://www.instructables.com/Midbar-STM32F407VET6-Version-V20/ ESP32 V6.0: https://www.instructables.com/Midbar-V60/ Teensy 4.1 V3.0: https://www.instructables.com/DIY-Hardware-Data-Vault-With-Teensy-41/ -
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Moebius
Raspberry PI minimal linux distribution
Moebius Linux is a Raspberry PI armhf distribution built from scratch and targeted to have a small footprint. 20Mb of RAM (with ssh) and a 128Mb SD are minimum requirements. Size, speed and optimizations are main goals for this distro, take a look at it and contribute if you like it -
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RPi-64
computer simulation for my raspberry pi
Pi64 is not an emulator, it just mimics the 80's classic 8bit computers with SDL based graphics and RtAudio based sound. The fullscreen editor for shell and the built-in program editor help you create your own programs and games. Programming language is LUA, but Pi64 is open for any library plugins written in your favourite language. Source was written in pure C, so should compile on Windows, Mac OS X and Linux without issues.
