Open Source Linux Raspberry Pi Software - Page 2
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Raspberry Pi Software for Linux
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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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FreeJ2ME
A J2ME emulator for Windows, Linux, and Raspberry Pi
FreeJ2ME is a simple J2ME emulator with a focus on old mobile phone games. It was designed to run on Windows, desktop Linux, and on the Raspberry Pi 3 using Libretro and Retroarch as provided by RetroPie. It supports some games not playable using MicroEmulator and Kemulat0r, though it does not support every game those play. At the moment, it's best to have all three if you're interested in those types of games. Some games only run at specific resolutions. Per-game configuration is available from the menu (by pressing esc). Preferences are saved and will automatically load. Games automatically scale with the window size, making it easy to play games designed for smaller screen sizes. The Java portion can be built using Apache Ant with the build.xml file provided. The Libretro core can be built using the build.sh script. Installation instructions for the Libretro core for RetroPie are included. Follow the development process here: https://github.com/hex007/freej2me -
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quadplay
The quadplay fantasy console
quadplay✜ is a fantasy console by CasualEffects for creating and playing retro-style video games on any device. Create and play games on any laptop, desktop, tablet, or phone. Or, build your own programmable arcade machine from a Raspberry Pi, Tegra, or old computer. Create games on Windows, macOS, Linux. Play your games in any modern web browser on a laptop, desktop, tablet, phone, Raspberry Pi 4, or Jetson Nano. 60 fps @ 384 x 224 pixels = 12:7 aspect ≈ 16:9.3. 4096 sRGB (4:4:4) colors. Four players with virtual controls for D-pad and eight buttons. Local and safe online multiplayer. Supports Xbox, Playstation, SNES, Stadia, Switch, 8bitdo, touch screen, and other controllers. Hundreds of built-in sprites, sounds, and fonts. Program in PyxlScript, a friendly Python-like language. Order-independent, 4-bit alpha transparency. Native 2.5D graphics with z-order. -
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avbuild
ffmpeg build tool and prebuilt packages for all platforms
iOS, android, raspberry pi, windows store, windows desktop, linux, macOS etc. Multiple toolchains support, include gcc, clang, vs2013, vs2015, vs2017. Hardware accelerated decoders and encoders support. Source code: https://github.com/wang-bin/avbuild -
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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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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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FarmBot OS
The operating system and all related software
The operating system and all related software that runs on FarmBot's Raspberry Pi. The FarmBot OS release page has moved to my.farm.bot/os. Old versions of FarmBot OS can still be found. Get configured over WiFi, mitigating the need to plug in a mouse, keyboard, or screen. Communicate with the web application over WiFi or ethernet so that it can synchronize (download) sequences, regimens, farm designs, events, and more; upload logs and sensor data; and accept real-time commands. Communicate with the Farmduino to send G and F commands and receive sensor and encoder data. Take photos with a USB or Raspberry Pi camera, and upload the photos to the web application. You must use a .img writing tool to write FarmBot OS onto the microSD card. We recommend downloading and installing balenaEtcher for this purpose. -
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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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raspberry-gpio-python
A Python module to control the GPIO on a Raspberry Pi
To get started with RPi.GPIO, it would be worthwhile reading the examples in the project wiki (link above). Note that this module is unsuitable for real-time or timing critical applications. This is because you can not predict when Python will be busy garbage collecting. It also runs under the Linux kernel which is not suitable for real time applications - it is multitasking O/S and another process may be given priority over the CPU, causing jitter in your program. If you are after true real-time performance and predictability, buy yourself an Arduino! (see http://www.arduino.cc ) Note that the current release does not support SPI, I2C, 1-wire or serial functionality on the RPi yet. This is planned for the near future - watch this space! -
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RaspEX Kodi
RaspEX Kodi 64bit is a perfect system for Raspberry Pi 5
RaspEX Kodi Build 260117 with LXQt/Kodi 21.3 ("Omega") is made especially for the new Raspberry Pi 5. In RaspEX Kodi I’ve added the LXQt 2.2 Desktop with many useful applications, such as NetworkManager. Makes it easy to configure your wireless network. I’ve also upgraded Kodi to version 21.3 "Omega" , which makes it possible to include many useful Add-ons. PERFORMANCE RaspEX Kodi is now very fast and responsive. And the video performance is brilliant. Almost as good as if you use a new "big" computer. INSTALLATION Use Rufus in Windows to transfer the IMAGE file to a SD card. USED KERNEL Kernel 6.12.40-exton-v8-16k+ for Rpi5. You can ONLY run this RaspEX Kodi version on a Raspberry Pi 5. ABOUT Kodi 21.3 Version 21.3 ("Omega") was released 251216. ABOUT the YouTube Add-on in Kodi I have created permanent API keys so that the YouTube Add-on will work. -
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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: 9.92. 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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GeigerLog
Python program for Geiger counters and Environmental Sensors
GeigerLog is a combination of data logger, presenter, and analyzer, and is now released in version 2.1! Based on Python (Version 3), it runs on Linux, Windows, Macs, Raspberry Pi, and other. GeigerLog is WiFi-enabled for servers and clients; it can be monitored by SmartPhone. Initially developed for Geiger counters, it is now a more universal tool, which equally well handles data like temperature, air-pressure, humidity, CO2. Continues to support Geiger counters like GQ Electronic's GMC-300/500/600 , RadMon, RadPro, Gamma-Scout, audio-click and other low-cost Geiger counters, IoT devices, I2C based sensors, GQ EMF devices. GeigerLog reads data from devices, saves them to databases, prints to screen and plots as auto-updated, customizable graphs. Quality control using Statistics, Scatter, Poisson, FFT & Autocorrelation, and more. Gamma Spectra - can be displayed, calibrated, and evaluated in GeigerLog! The Raspberry Pi 4, 5 qualify as GeigerLog hosts. -
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AmogOS
Among-us themed OS. As seen on Reddit and Youtube
A parody OS inspired by Among Us. (pronounced A-mog-O-S). -
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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. -
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SmartDNS
Local DNS server to obtain the fastest website IP
SmartDNS is a local DNS server. SmartDNS accepts DNS query requests from local clients, obtains DNS query results from multiple upstream DNS servers, and returns the results with the fastest access speed to clients, improving network access speed. At the same time, it supports the designation of specific domain name IP addresses, and high-quality matching to achieve the effect of filtering advertisements. Different from all-servers of dnsmasq, smartdns returns the resolution results with the fastest access speed. Supports Raspberry Pi, openwrt, ASUS router, windows and other devices. Supports domain name suffix matching mode, simplify filtering configuration, filter 200,000 records in less than 1ms. Supports domain name shunting, different types of domain names are queried to different DNS servers. Support standard Linux system (Raspberry Pi), various firmware of openwrt system, and native firmware of ASUS router. And support for Windows 10 WSL (Windows Subsystem for Linux). -
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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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RetroPie BIOS
Full BIOS collection for RetroPie
RetroPie BIOS is a curated collection of BIOS files intended for use with the RetroPie emulation platform, providing the essential firmware required to run a wide range of classic gaming systems. The repository organizes BIOS files for numerous consoles and arcade systems, ensuring compatibility with RetroPie and related emulation environments. Each file in the collection has been verified against reference databases such as the Libretro system definitions, ensuring accuracy and reliability. The project simplifies the process of setting up emulation systems by consolidating required BIOS files into a single, organized package that users can directly integrate into their RetroPie installation. It also includes checksum validation mechanisms, allowing users to verify file integrity and ensure that BIOS files match expected standards. By maintaining a structured and verified dataset, the repository reduces common issues associated with missing or incorrect BIOS files. -
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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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Home Assistant Frontend
Frontend for Home Assistant
Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server. Frontend for Home Assistant. This is the repository for the official Home Assistant frontend. Once you have integrated all your devices at home, you can unleash Home Assistant’s advanced automation engine to make your home work for you. Home Assistant integrates with over a thousand different devices and services. Once started, Home Assistant will automatically scan your network for known devices and allow you to easily set them up. Home Assistant is not just limited to Home Assistant. Easily install other applications that will help you manage your home. Home Assistant keeps your data local, no need for a cloud. Home Assistant communicates with your devices locally, and will fallback to pulling in data from the cloud if there is no other option. -
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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. -
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DynamixelSDK
ROBOTIS Dynamixel SDK (Protocol1.0/2.0)
DYNAMIXEL SDK is a software development kit that provides DYNAMIXEL control functions using packet communication. The API of DYNAMIXEL SDK is designed for DYNAMIXEL actuators and DYNAMIXEL-based platforms. You need to be familiar with C/C++ programming language for right use of the software. This e-Manual provides comprehensive information on ROBOTIS products and applications. -
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Mirrorcast
Open Source Alternative to Chromecast, Mirror Desktop and Play media r
The idea is to replicate what Chromecast can do in regards to screen mirroring and streaming media to a remote display. Google chromes screen mirroring feature works well when used with a receiver such as Chromecast but this is a proprietary solution and audio does not work for desktop mirroring on some operating systems. At the moment, there is only a client for Debian/Ubuntu Operating systems and a server/receiver application for Raspberry pi. Mirrorcast aims to be a low latency screen mirroring solution with high-quality video and audio at 25-30fps, the later is why we will not use something like VNC. Mirrorcast uses up about the same amount of system resources as google chromes cast feature. The delay is less than 1 second on most networks. To achieve this we will use existing FOSS software such as ffmpeg, mpv, and omxplayer. -
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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. -
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flash
Command line script to flash SD card images of any kind
Command line script to flash SD card images of any kind. Note that for some devices (e.g. Raspberry Pi), at the end of the flashing process the tool tries to customize the SD card e.g. it configures a hostname or WiFi. And with a cloud-init enabled image you can do much more like adding users, SSH keys etc.
