Open Source Raspberry Pi Software - Page 3

Raspberry Pi Software

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  • 1
    VitalSignsCapture

    VitalSignsCapture

    Download data from medical device interfaces in ICU & Anaesthesia

    A C# .NET app to download or capture data from several medical device interfaces such as Datex AS3 S/5 Anesthesia, Philips Intellivue, GE Dash, Mindray HL7, Spacelabs, Draeger Infinity, Draeger HL7 patient monitors, GE Engstrom, Draeger (MedibusX), Maquet (Servo-i, Servo-U & Flow-i), Puritan Bennett ventilators, Covidien BIS Vista cerebral monitor, Fresenius Agilia, Alaris Carefusion, BBraun Spacecom syringe and volumetric pumps, Roche Cobas ASTM ABG analyzers. Requires Visual Studio 2022, .NET 8 or Visual Studio for Mac to compile. Support for capture from other monitors is planned in future.
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    Downloads: 31 This Week
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  • 2
    Homebridge Raspberry Pi Image

    Homebridge Raspberry Pi Image

    Homebridge Raspberry Pi Image based on Raspberry Pi OS Lite

    This project provides a free Raspbian-based Raspberry Pi image with Homebridge and Homebridge Config UI X pre-installed. This image also provides a command called hb-config which helps you keep Node.js up-to-date, perform maintenance on your Homebridge server, and install additional optional software such as Pi Hole and deCONZ. The Homebridge service is installed using the method described in the Raspberry Pi Installation Guide on the Homebridge project wiki. The easiest way to flash the Homebridge Raspberry Pi Image to your SD card is to use the Raspberry Pi Imager. Raspberry Pi Imager will now download and flash the latest version of the Homebridge Raspberry Pi Image to your SD card, this may take several minutes depending on the speed of your internet connection and SD card. The Homebridge UI web interface will allow you to install, remove and update plugins, and modify the Homebridge config.json and manage other aspects of your Homebridge service.
    Downloads: 5 This Week
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  • 3
    RaspiBolt

    RaspiBolt

    Bitcoin & Lightning full node on a Raspberry Pi

    Build your own “do-everything-yourself” Bitcoin full node that will make you a sovereign peer in the Bitcoin and Lightning network. With this guide, you can set up a Bitcoin and Lightning node from scratch, doing everything yourself. You will learn about Linux, Bitcoin, and Lightning. As a result, you’ll have your very own RaspiBolt node, built by you and no one else. Let your node validate your own Bitcoin transactions. No need to ask someone else to tell you what’s happening in the Bitcoin network. Connect your wallets to your node so that you no longer need to reveal their whole financial history to external servers. Run your own Lightning node for everyday payments and help building a robust, decentralized Bitcoin Lightning network. Full client with stable long-term channels and web-based and mobile-based management interfaces. We strive to give foolproof instructions. But the goal is also to do everything ourselves.
    Downloads: 5 This Week
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  • 4
    AWS IoT Device SDK v2 for Python

    AWS IoT Device SDK v2 for Python

    Next generation AWS IoT Client SDK for Python

    Next-generation AWS IoT Client SDK for Python using the AWS Common Runtime. This document provides information about the AWS IoT Device SDK v2 for Python. This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-compression, aws-c-http, aws-c-cal, aws-c-auth, s2n ...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to Python by the awscrt package (PyPI). AWS IoT provides the cloud services that connect your IoT devices to other devices and AWS cloud services. AWS IoT provides device software that can help you integrate your IoT devices into AWS IoT-based solutions. If your devices can connect to AWS IoT, AWS IoT can connect them to the cloud services that AWS provides. AWS IoT lets you select the most appropriate and up-to-date technologies for your solution.
    Downloads: 4 This Week
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  • 5
    Coolify

    Coolify

    An open-source & self-hostable Heroku / Netlify / Vercel alternative

    Coolify is an open-source & self-hostable alternative to Heroku / Netlify / Vercel / etc. It helps you manage your servers, applications, and databases on your own hardware; you only need an SSH connection. You can manage VPS, Bare Metal, Raspberry PIs, and anything else. Imagine having the ease of a cloud but with your own servers. That is Coolify. No vendor lock-in, which means that all the configurations for your applications/databases/etc are saved to your server. So, if you decide to stop using Coolify, you could still manage your running resources. You lose the automation and all the magic.
    Downloads: 4 This Week
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  • 6
    Phoniebox

    Phoniebox

    A Raspberry Pi jukebox, playing local music, podcasts, web radio

    Phoniebox is a contactless jukebox for the Raspberry Pi, that plays audio files, playlists, podcasts, web streams, and Spotify triggered by RFID cards. All plug and play via USB, no soldering iron needed. It also features GPIO button control support.
    Downloads: 4 This Week
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  • 7
    Porcupine

    Porcupine

    On-device wake word detection powered by deep learning

    Build always-listening yet private voice applications. Porcupine is a highly-accurate and lightweight wake word engine. It enables building always-listening voice-enabled applications. It is using deep neural networks trained in real-world environments. Compact and computationally-efficient. It is perfect for IoT. Cross-platform. Arm Cortex-M, STM32, PSoC, Arduino, and i.MX RT. Raspberry Pi, NVIDIA Jetson Nano, and BeagleBone. Android and iOS. Chrome, Safari, Firefox, and Edge. Linux (x86_64), macOS (x86_64, arm64), and Windows (x86_64). Scalable. It can detect multiple always-listening voice commands with no added runtime footprint. Self-service. Developers can train custom wake word models using Picovoice Console. Porcupine is the right product if you need to detect one or a few static (always-listening) voice commands. If you want to create voice experiences similar to Alexa or Google, see the Picovoice platform.
    Downloads: 4 This Week
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  • 8

    Raspi - Home Server

    Un piccolo server domestico con il Raspberry

    Immagine per il Raspberry PI che implementa un server domestico per i seguenti servizi: NAS (collegando dischi USB alle porte del Raspberry) Print Server Media Server (DLNA) Scanner di rete (Permette l'accesso via rete ad uno scanner) Inoltre è installata l'interfaccia web RPI-Monitor che consente di visualizzare via web lo stato del dispositivo. Tramite interfaccia web è possibile gestire: Amministrazione del dispositivo (tramite WEBMIN) Stampanti (Tramite CUPS) Scanner (Tramite PHP Server Scanner) Accesso in ssh (tramite shell in a box) Caratteristica interessante è il fatto che è un server headless (quindi puo' essere operativo senza alcun monitor e tastiera). Anche la parte Wifi (SSID e Password) sono configurabili con un fiile di testo presente nella partizione di boot (che è in FAT32 e quindi modificabile anche da S.O. Windows). Una volta collegato alla rete il dispositivo è visibile tramite il nome raspberrypi.local (o raspberrypi)
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    Downloads: 97 This Week
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  • 9
    hyperion-project

    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
    Downloads: 86 This Week
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  • 10
    Repeater-START

    Repeater-START

    Showing The Amateur radio Repeaters Tool

    Repeater-START (Showing The Amateur Repeaters Tool) is an app to view nearby ham radio repeaters. It runs on Windows, Android, Ubuntu Linux and Raspbian for Raspberry-pi, Librem Phone, Pinephone/Manjaro Linux etc.
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    Downloads: 81 This Week
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  • 11
    FTLDNS

    FTLDNS

    The Pi-hole FTL engine

    Network-wide ad blocking via your own Linux hardware. FTLDNS (pihole-FTL) provides an interactive API and also generates statistics for Pi-hole®'s Web interface. Fast, stats are read directly from memory by coupling our codebase closely with dnsmasq. Versatile, upstream changes to dnsmasq can quickly be merged in without much conflict. Lightweight, runs smoothly with minimal hardware and software requirements such as Raspberry Pi Zero. Interactive, our API can be used to interface with your projects. Insightful: stats normally reserved inside of dnsmasq are made available so you can see what's really happening on your network. Network-level blocking allows you to block ads in non-traditional places such as mobile apps and smart TVs, regardless of hardware or OS.
    Downloads: 3 This Week
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  • 12
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
    Downloads: 3 This Week
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  • 13
    NATS

    NATS

    Server for NATS.io, the cloud and edge native messaging system

    With flexible deployments models using clusters, superclusters, and leaf nodes, optimize communications for your unique deployment. The NATS Adaptive Edge Architecture allows for a perfect fit for unique needs to connect devices, edge, cloud or hybrid deployments. With true multi-tenancy, securely isolate and share your data to fully meet your business needs, mitigating risk and achieving faster time to value. Security is bifurcated from topology, so you can connect anywhere in a deployment and NATS will do the right thing. With the ability to process millions of messages a second per server, you’ll find unparalleled efficiency with NATS. Save money by minimizing cloud costs with reduced compute and network usage for streams, services, and eventing. NATS self-heals and can scale up, down, or handle topology changes anytime with zero downtime to your system. Clients require zero awareness of NATS topology allowing you future proof your system to meet your needs of today and tomorrow.
    Downloads: 3 This Week
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  • 14
    M32/X32 Show Manager

    M32/X32 Show Manager

    Reorganize M32/X32 show files

    Both the Midas M32 and Behringer X32 share the same design of show management using the console GUI, M32-Edit and X32-Edit apps. This app provides an alternative method to manage these show files (cues, scenes and snippets). It provides an easier method of reorganizing and importing/exporting of files.
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    Downloads: 57 This Week
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  • 15

    raspicam

    C++ library for controlling Raspberry Pi Camera (with/without OpenCV)

    This library allows to use the Raspberry Pi Camera. Main features: - Provides class RaspiCam for easy and full control of the camera - Provides class RaspiCam_Cv for easy control of the camera with OpenCV. - Easy compilation/installation using cmake. - No need to install development file of userland. Implementation is hidden. - Many examples
    Downloads: 14 This Week
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  • 16

    MINIBIAN image for Raspberry Pi

    MINIBIAN is a MINImal RaspBIAN-based Linux image for Raspberry Pi

    The main focus is to have a small, updated and stable distribution that is fully compatible with official Raspbian image, without GUI and unneeded tools. So this image is perfect for embedded projects, or wherever you need to use all RPi resources for your specific tasks. The main advantage is that MINIBIAN has a very small footprint, boots in some seconds and uses just few of precious RPi RAM. Unlike other similar projects, MINIBIAN has not been obtained purging unneeded packages from original image, neither recompiling the source code: it’s just a customized Raspbian installation obtained from the same repository used for official RPi image. So kernel and binary files are exactely the same you will find on standard image, with the difference that MINIBIAN fit on 1GB SD Card, is fastest, and updated more often.
    Downloads: 11 This Week
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  • 17
    Chromium OS Raspberry Pi

    Chromium OS Raspberry Pi

    Build your Chromium OS for Raspberry Pi 4B

    Build your Chromium OS for Raspberry Pi 4B, Pi400, and the latest Raspberry Pi 5. We get it, it's confusing. There are Chromium OS for Raspberry Pi, openFyde that happens to boot on Raspberry Pi, and FydeOS for You - Raspberry Pi 400, these are different releases. This project is about Chromium OS for Raspberry Pi, not FydeOS for You - Raspberry Pi 400, also not openFyde. This project aims to only ship vanilla Chromium OS developed by Google and the Chromium Authors, ported to the world's favorite single-board computer - the Raspberry Pi platform.
    Downloads: 2 This Week
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  • 18
    Gogs

    Gogs

    A painless self-hosted Git service

    Gogs is a simple, stable, self-hosted Git service that is easy to install and setup. All you have to do is run the binary on any platform that Go supports: Linux, macOS and Windows. You may also install from source, from packages, or ship with Docker or Vagrant. Gogs is very lightweight with minimal hardware requirements, running on Raspberry Pi and even on NAS devices. Gogs offers plenty of great features, including various access repositories, repository and organization webhooks, repository Git hooks, repository management and so much more. It also offers software, service and product support for various areas such as project management (Kanboard, Taiga), DevOps (Fabric8) and team communication (BearyChat).
    Downloads: 2 This Week
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  • 19
    Homebridge Docker Image

    Homebridge Docker Image

    HomeKit support for the impatient using Docker on x86_64

    This Ubuntu Linux based Docker image allows you to run Nfarina's Homebridge on your home network which emulates the iOS HomeKit API. This is a multi-arch image and will run on x86_64, Raspberry Pi 2, 3, 4, Zero 2 W, or other Docker-enabled ARMv7/8 devices. Docker will automatically pull the correct image for your system. Homebridge requires full access to your local network to function correctly. This image will not work when using Docker for Mac or Docker for Windows. The parameters are split into two halves, separated by a colon, the left-hand side representing the host and the right container side. This image comes with the Homebridge UI pre-installed and is the easiest way to manage all aspects of Homebridge. Automated updates of the Homebridge Docker Image using tools such as Watchtower or similar are strongly discouraged and are done so at your own risk. You can update Homebridge, the Homebridge UI and the Node.js runtime from inside the container.
    Downloads: 2 This Week
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  • 20
    TFT_eSPI

    TFT_eSPI

    Arduino and PlatformIO IDE compatible TFT library

    An Arduino IDE compatible graphics and fonts library for 32-bit processors. The library is targeted at 32-bit processors, it has been performance-optimized for STM32, ESP8266 and ESP32 types. The library can be loaded using the Arduino IDE's Library Manager. Direct Memory Access (DMA) can be used with the ESP32, RP2040, and STM32 processors to improve rendering performance. "Four wire" SPI and 8 bit parallel interfaces are supported. Due to the lack of GPIO pins, the 8-bit parallel interface is NOT supported on the ESP8266. 8 bit parallel interface TFTs (e.g. UNO format mcufriend shields) can use with the STM32 Nucleo 64/144 range or the UNO format ESP32. ILI9341 and ST7796 SPI-based displays are recommended as starting points for experimenting with this library. The library supports some TFT displays designed for the Raspberry Pi (RPi) that are based on a ILI9486 or ST7796 driver chip with a 480 x 320-pixel screen.
    Downloads: 2 This Week
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  • 21
    VulkanSceneGraph

    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).
    Downloads: 2 This Week
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  • 22
    speedtest-cli

    speedtest-cli

    Command line interface for testing internet bandwidth using speedtest

    Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. Measure internet connection performance metrics like download, upload, latency and packet loss natively without relying on a web browser. Test the internet connection of your Linux desktop, a remote server or even lower-powered devices such as the Raspberry Pi with the Speedtest Server Network. Set up automated scripts to collect connection performance data, including trends over time.
    Downloads: 2 This Week
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  • 23

    MUMPS Database and Language

    ANSI Standard MUMPS

    Implementation of ANSI Standard MUMPS 1995 and ISO/IEC 11756 for FreeBSD, OSX and linux. Also on the Raspberry Pi (ARM) under debian and Windows under cygwin. This is the post-relational database.
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    Downloads: 14 This Week
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  • 24

    comtool

    Cross platform Serial Assistant ( 跨平台 串口 调试 助手 串口助手 串口调试助手 linux windows mac Raspberry Pi )

    Downloads: 40 This Week
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  • 25
    xsnow

    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 .
    Downloads: 10 This Week
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