Open Source Linux Raspberry Pi Software - Page 2

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  • 1
    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.
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  • 2
    AnyPixel.js

    AnyPixel.js

    A web-friendly way for anyone to build unusual displays

    AnyPixel.js is an open-source software and hardware library that makes it possible to use the web to create big, unusual, interactive displays. Anyone can fork the code and the schematics to create their own display at any scale. The first display using this platform is in the 8th Avenue lobby at the Google NYC office. To create this installation, we used 5880 off-the-shelf arcade buttons with LEDs inside them as our pixels. AnyPixel.js’ straightforward hardware/software framework makes it easy to build any display where each pixel is an interactive element. We've included 12 example apps written by Googlers and friends for the 8th Avenue lobby display in NYC. To check them out, install the previewer and run one of the examples. Building your own app is easy with the Anypixel framework. To get started, check out the framework documentation and the example app.
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  • 3
    Aria2 AriaNg Docker

    Aria2 AriaNg Docker

    The Docker image for Aria2 + AriaNg + File Browser + Rclone

    One Docker image for file downloading, managing, sharing, as well as video playing and evening cloud storage synchronization. Furthermore, it's pretty small and ARM CPU compatible which means you can also run it on Raspberry Pi. Last but not least, Auto HTTPS can't be more easy.
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  • 4

    Control-Freak

    Visual Automation & UI Authoring

    This is a general purpose tool optimized for managing, programming and automating machines, services and apps or just loose parts of code snippets. It comes with a visual block language and a visual GUI designer which lets you inter connect and automate all sorts of devices. It has built-in support for TCP, UDP, Serial, MQTT, SSH, Arduino/Raspberry-PI or access to your custom API via HTTP. Public Homepage: http://pearls-media.com/control-freak/ On Github: https://github.com/net-commander/windows-dist
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  • 5
    CppWeb - C++ Web developement framework

    CppWeb - C++ Web developement framework

    Cross-platform C++ library for developing CGI Web applications

    CppWeb is cross-platform C++ library for developing web applications with server push support. The library decodes CGI variables and cookies, supports file uploads, performs automatic cookie detection, provides URL and HTML entity encode/decode functions, supports server-push (long-polling via ajax), has built-in HTML parser, SQLite database wrapper etc. CppWeb compiles on Windows, Linux and MacOSX (tested with GNU C++, MingW, MS Visual C++ and Borland C++ compiler) and can run with almost any web server (Apache, IIS, Boa etc.). Can be used in embedded systems (tested with FriendlyARM Mini2440 and Raspberry PI)
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  • 6

    FFT for ARMv6

    Fixed point 16/32 integer FFT library for the Raspberry Pi and Android

    This library is being created as I have a need to do very fast FFTs on low end devices not supporting the NEON instruction set. The Raspberry Pi is an ideal candidate for developing in gcc before porting to JNI for low spec Android devices, hence it's inclusion. Fixed point 16/32 integer FFT library suitable for the Raspberry Pi and Android devices. Includes test stubs for gcc on the Raspberry Pi and a Basic4Android wrapper from JNI. It includes hand optimised ARMv6 assembler, demonstrating techniques such as pipeline stuffing to achieve maximum performance. It also demonstrates how to include large chunks of assembler inline with C/C++ thus avoiding ABI issues between platforms.
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  • 7
    Financial Freedom

    Financial Freedom

    An open source alternative to Mint, YNAB, and more

    Financial Freedom is an open source alternative to Mint, YNAB, and more. With open source at its core, you have the freedom to review exactly what's happening with your data and participate in the improvement of the product. Break free from third parties tracking every financial footstep you have. Run this application on any device or host that supports Docker -- if that's something like AWS, Digital Ocean, or even your own Raspberry Pi running in your basement.
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  • 8
    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.
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  • 9
    Homie for ESP8266

    Homie for ESP8266

    ESP8266 framework for Homie, a lightweight MQTT convention

    An Arduino for ESP8266 / ESP32 implementation of Homie, an MQTT convention for the IoT. This branch of Homie for ESP8266 implements Homie 3.0.1 and adds support for ESP32. PlatformIO is an open-source ecosystem for IoT development with the cross-platform build system, library manager and full support for Espressif ESP8266 development. It works on the popular host OS, Mac OS X, Windows, Linux 32/64, Linux ARM (like Raspberry Pi, BeagleBone, CubieBoard). Available in the PlatformIO registry. Pretty straightforward sketches, a simple light for example (TODO: adapt to V3). Cute HTTP API/Web UI/App to remotely send the configuration to the device and get information about it. ESP8266 framework for Homie, a lightweight MQTT convention for the IoT.
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  • 10
    Kalliope

    Kalliope

    Kalliope is a framework to create your own personal assistant

    Kalliope is a modular always-on voice-controlled personal assistant designed for home automation. Kalliope is a framework that will help you to create your own personal assistant. The concept is to create the brain of your assistant by attaching an input signal (vocal order, scheduled event, MQTT message, GPIO event, etc..) to one or multiple actions called neurons. You can create your own Kalliope bot, by simply choosing and composing the existing neurons without writing any code. But, if you need a particular module, you can write it by yourself, add it to your project, and propose it to the community. Kalliope can run on all Linux Debian-based distributions including a Raspberry Pi and its multi-lang. The only thing you need is a microphone.
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  • 11
    Kubernetes on Raspbian

    Kubernetes on Raspbian

    Kubernetes on Raspbian (Raspberry Pi)

    This repository holds the "original tutorial" for "Kubernetes on Raspbian" by Alex Ellis using kubeadm. It also has a list of reader clusters for your inspiration and Alex's newest work with k3s.
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  • 12
    LaMa

    LaMa

    LaMa - A Localization and Mapping library

    LaMa is a C++11 software library for robotic localization and mapping developed at the Intelligent Robotics and Systems (IRIS) Laboratory at the University of Aveiro - Portugal. It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching, and two SLAM solutions (an Online SLAM and a Particle Filter SLAM). The main feature is efficiency. Low computational effort and low memory usage whenever possible. The minimum viable computer to run our localization and SLAM solutions is a Raspberry Pi 3 Model B+. We provide a fast scan-matching approach to mobile robot localization supported by a continuous likelihood field. It can be used to provide accurate localization for robots equipped with a laser and a not-so-good odometry. Nevertheless, good odometry is always recommended.
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  • 13
    MySensors

    MySensors

    MySensors library and examples

    MySensors is an open-source hardware and software community focusing on do-it-yourself home automation and Internet of Things. We're here to help people who'd like to create original and affordable sensors and actuators based on components like Arduino, ESP8266, Raspberry Pi, NRF24L01+ and RFM69. Does it sound complicated? Don’t worry, we’ll explain everything. We provide easy-to-follow build instructions, ready-to-use code examples, and adaptable open-source hardware designs. All of this runs on the MySensors software library for secure communication that has been battle-tested with more than 20 of the leading home automation controllers on the market. So, join in, have fun and create your own connected home experience! We've combined the Arduino platform with a small radio transceiver into a fun, flexible world of low cost wireless sensors.
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  • 14
    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.
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  • 15

    Programmierkurs Python

    Programmierkurs Python mit Raspberry Pi und Minecraft

    Ein Programmierkurs für die Programmiersprache Python mit dem Raspberry Pi Computer und Minecraft. Im Kurs wird darauf hingearbeitet, Minecraft zu modifizieren.
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  • 16
    RF24

    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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  • 17
    RPi GPIO emulator

    RPi GPIO emulator

    Raspberry Pi GPIO emulator with LUA scripting

    Raspberry Pi GPIO emulator with LUA scripting Support RPi B Rev 2 modell
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  • 18
    RaspberryBMS

    RaspberryBMS

    User interface for Simp-BMS throuh Node-Red on a Raspberry Pi

    This is a preconfigured version of Rasbian that communicates with Tom de Bree:s Simp-BMS hardware. Presentation of the data from the CAN-bus is presented in Node-Red through its GUI-capability. Prerequisites: 1 - Raspberry Pi 3 or newer. 1 - USBtin CAN-USB converter 1 - Simp-BMS https://www.diyelectriccar.com/forums/showthread.php/fs-tesla-vw-outlander-bms-master-198263.html https://www.fischl.de/usbtin/ See README.txt for more info.
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  • 19
    RaspiControl

    RaspiControl

    Control GPIO ports of the Raspberry Pi

    Web application whose main purpose is to control GPIO ports of the Raspberry Pi. It needs to be deployed on a tomcat server in raspi, which start with root permissions. *** Aplicación web cuyo objetivo principal es el control de los puertos GPIO de la Raspberry Pi. Tiene que ser desplegado en un servidor tomcat en la Raspberry Pi, el cual arranque con permisos root.
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  • 20
    SDL2 binding for Go

    SDL2 binding for Go

    SDL2 binding for Go

    go-sdl2 is SDL2 wrapped for Go users. It enables interoperability between Go and the SDL2 library which is written in C. That means the original SDL2 installation is required for this to work. Some older versions of the distributions such as Ubuntu 13.10 may also be used but it may miss an optional package such as libsdl2-ttf-dev on Ubuntu 13.10's case which is available in Ubuntu 14.04. Note that the first build may take several minutes on machines that are not powerful such as Raspberry Pi.
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  • 21

    TclFltk

    Dynamic Extension for TCL/TK

    Implements a Tcl binding for the Fast Light Tool Kit portable GUI development environment.
    Downloads: 0 This Week
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  • 22
    Wagtail

    Wagtail

    A Django content management system focused on flexibility & UX

    Wagtail is a powerful, open source content management system that’s focused on flexibility and user experience. Built on Django, Wagtail offers precise control and flexibility for designers, developers and editors. Designed by developers for developers, Wagtail plays nicely with everything else in your tech stack so you can do more and focus on perfecting your site. Designers will find Wagtail’s simple templating system ideal for building beautiful websites just the way they want, without any CMS constraints. Editors can create beautiful, modular streams of content that they can create once and publish everywhere. Simply put, it’s the CMS that makes everyone happy!
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  • 23
    Wiki.js

    Wiki.js

    A modern and powerful wiki app built on Node.js

    Works on virtually any platform and is compatible with either PostgreSQL, MySQL, MariaDB, MS SQL Server or SQLite! Manage all aspects of your wiki using the extensive and intuitive admin area. Running on the blazing-fast Node.js engine, Wiki.js is built with performance in mind. Fully customize the appearance of your wiki, including a light and dark mode. You'll be ready to go within minutes! Step-by-step install guides are available for all platforms. Make your wiki public, completely private, or a mix of both. Whether it's on a tiny Raspberry Pi or on a high-performance VM in the cloud, Wiki.js intelligently makes use of the available resources. Built-in authentication with self-registration and password recovery capabilities. Use 3rd-party authentication services like Google, Facebook, Microsoft, GitHub, Discord, Slack and more. Add an extra layer of security using two-factor authentication for supported authentication modules.
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  • 24

    [JMuwe] Java Multifunktions Wecker

    Raspberry Pi Projekt Multifunktions Wecker

    Das erste Projekt mit dem RaspberryPi Model B - Ein Multifunktions Wecker. Ich habe mir dieses Projekt ausgesucht da es derzeit auf dem Markt kaum bzw keine günstigen Internet Radio Wecker zu kaufen gibt (meistens ab 80€ und aufwärts...) daher DIY
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  • 25

    builder

    Easily build software for your Linux distro repo

    This project is a wrapper script using generated profiles that include any desired patches and files (such as .desktop, icons, and configurations) to easily update, build, and package the software to be made available in your Linux distributions' online repository. So instead of worrying about how to compile for autoconf, autogen, bootstrap, cmake, or the traditional configure, make, make install, for each software title in your repo, builder will take care of all those details so you can focus on the more important parts of your project! Currently, builder can compile for AMD/Intel 32 and 64 bit along with ARM v6/7 (most notably for the Raspberry PI). The available profiles will successfully build for the XiniX and TC Linux distros, but contributions from others for those variants or others are welcomed and will be added to the database for all to use! Profiles can be found at: http://repo.cliquesoft.org/vanilla/1.1/builder/ [TC|XiniX]
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