Open Source Python Raspberry Pi Software
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Python Raspberry Pi Software
View 8446 business solutionsBrowse free open source Python Raspberry Pi Software and projects below. Use the toggles on the left to filter open source Python Raspberry Pi Software by OS, license, language, programming language, and project status.
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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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Mycroft
Mycroft Core, the Mycroft Artificial Intelligence platform
Mycroft is the world’s leading open source voice assistant. It is private by default and completely customizable. Our software runs on many platforms, on desktop, our reference hardware, a Raspberry Pi, or your own custom hardware. Our open-source, modular system can be ported to your device or environment, at any price point. Whether you make voice-assistants, televisions, or microwaves. Whether you have a 5-room BnB or a 1000-room hotel. Your customers will get access to all the necessities of a voice assistant. Our software and essential services are free (as in freedom) and also gratis (at no cost to you or them). And especially not at the cost of their (or your) privacy! Your customers will be able to upgrade their experience with premium content and services. The Mycroft open source voice stack can be freely remixed, extended, and deployed anywhere. Mycroft may be used in anything from a science project to a global enterprise environment. -
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motionEyeOS
A video surveillance OS for single-board computers
motionEyeOS is a Linux distribution that turns a single-board computer into a video surveillance system. The OS is based on BuildRoot and uses motion as a backend and motionEye for the frontend. Compatible with most USB cameras as well as with the Raspberry PI camera module. Motion detection with email notifications and working schedule. JPEG files for still images, AVI files for videos. Connects to your local network using ethernet or wifi. File storage on SD card, USB drive or network SMB share. Uploading of media files to cloud storage services (Google Drive, Dropbox), media files are visible in the local network as SMB shares. Media files can also be accessed through the built-in FTP server or SFTP server. -
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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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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 2.0.0! New: Gamma Spectra - can now be displayed, calibrated, and evaluated in GeigerLog! 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. 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. The Raspberry Pi 4, 5 qualify as GeigerLog hosts. -
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Home Assistant
Open source home automation that puts local control and privacy first
Home Assistant is a powerful open source home automation app that prioritizes local control and privacy. It offers great security and features while keeping your data securely out of the cloud. It can give you control of all your devices from a single, mobile-friendly interface and will track the state of all these devices so you don’t have to. Home Assistant is powered by a worldwide community and runs ideally on a Raspberry Pi or a local server. It can be set up to automatically control devices, so whether you want to be alerted when the lights turn on when you’re not at home, or want the lights to automatically dim when you start to watch a movie on Chromecast, Home Assistant can do it for you. See more examples on the official website: https://www.home-assistant.io/ -
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Face Recognition
World's simplest facial recognition api for Python & the command line
Face Recognition is the world's simplest face recognition library. It allows you to recognize and manipulate faces from Python or from the command line using dlib's (a C++ toolkit containing machine learning algorithms and tools) state-of-the-art face recognition built with deep learning. Face Recognition is highly accurate and is able to do a number of things. It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries. -
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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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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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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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NebiOS Alternative Mirror (Official)
An Ubuntu Linux-based OS that aims to end user.
NebiOS is Ubuntu-based secure, privacy-focused universal OS for daily life, creativity, gaming & more. Official mirror - use if main site has download issues. Main site: nebios.org ⚠️ DON'T DOWNLOAD FROM UNKNOWN SOURCES! === 🚀 NebiOS X (next-gen) is here! Currently available as public beta in both SourceForge (here in "nextgen" folder) and nebios.org (under construction). Early release due to dev challenges - better hardware recommended. === 📋 NebiOS 3 Requirements (Stable - Final X11 version): - 64-bit dual-core x86 (Intel/AMD) or ARM, 2GB RAM, 24GB storage - OpenGL 3 GPU (something like Intel HD 4000 or better), Vulkan 1.3 for gaming - Works on 2012+ PCs. Pi 4: 720p 30fps (due hardware limits), Pi 5 not supported (NebiOS X will support) VM Support: Most software works (VirtualBox, VMware, QEMU). NebiOS X needs properly Wayland-supported 3D acceleration (only VMware supported in currently). ⚠️ NebiOS 2 support ends when X goes final (stable) -
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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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Face Mask Detection
Face Mask Detection system based on computer vision and deep learning
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety. The absence of large datasets of ‘with_mask’ images has made this task cumbersome and challenging. Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.). -
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PyBoy
Game Boy emulator written in Python
It is highly recommended to read the report to get a light introduction to Game Boy emulation. But do be aware, that the Python implementation has changed a lot. The report is relevant, even though you want to contribute to another emulator or create your own. If you are looking to make a bot or AI, you can find all the external components in the PyBoy Documentation. There is also a short example on our Wiki page Scripts, AI and Bots as well as in the examples directory. If more features are needed, or if you find a bug, don't hesitate to make an issue here on GitHub, or write on our Discord channel. If you need more details, or if you need to compile from source, check out the detailed installation instructions. We support: macOS, Raspberry Pi (Raspbian), Linux (Ubuntu), and Windows 10. -
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snakeware
A free Linux distro with a Python-based userspace
snakeware is a free Linux distro with a Python userspace inspired by the Commodore 64. You are booted directly into a Python interpreter, which you can use to do whatever you want with your computer. -
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imgFlasher
Flash OS images to sdcards and usb drives
imgFlasher has been built specifically for Embedded and IoT developers in order to flash OS images on SD cards and USB drives. Made primarily for Raspbian, Ubuntu, Debian, Yocto-based images but works with any kind of Linux distribution. imgFlasher is a portable software that doesn't require any installation. The process of flashing OS with imgFlasher is super simple and requires just 3 steps. (1) Choose img/zip file. (2) Choose drive to flash on. (3) Click on Flash. Recommended using for Raspberry Pi, Banana Pi, Odroid, BeagleBone, Nvidia Jetson, Tinkerboard, etc. -
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openWrt-snort
Image of OpenWrt OS, with snort community featured in.
Image of OpenWrt OS, with snort community featured in, for Raspberry Pi 4/ 4B+ and 400, basically for Processor BCM2711. Installed Snort Community Model to Intrusion Detection system. Prevention system not installed. eth0 used as output/ LAN socket, to run internet and access router. eth1, which can be USB -> Ethernet port, is used as WAN port, to connect Pi board to Internet IP. to flash img file, you can restore in SD card, or use Balena Etcher to flash. or you can use DD commend of UNIX. **USERNAME** - root **PASSWORD** - bing.google12 -
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KeexyBox
The box to keep the Internet under your control
KeexyBox allows you to do parental control, block ads, limit telemetry, and browse the Internet anonymously from your home network without installing any software on your devices. It also can be used to create a public wireless access point with the captive portal. It is a software program which requires a Raspberry PI box and which is installed on Raspbian. It constitutes a cut-off point between your devices (computers, tablets, smartphones, etc.) and your router or Internet box. KeexyBox acts as a default gateway and DNS server for the devices in your home network. It thus intercepts all connections to the Internet to carry out website filtering or to activate browsing via the Tor anonymity network according to connection profiles which you have configured. -
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pyNETVARS
Python module for network variables for CoDeSys PLCs
CoDeSys v2.3 supports so called network variables. Blocks of (global) variables, that propagates over networks like TCP, UDP or UDP Multicast aso. This python module supports parsing, receiving and sending those blocks (with UDP Multicast only). With this you can add for example a Raspberry Pi Sensor to your automation network without special Network clients on your PLC. -
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RaspRFID
RFID Software for using MiFare compatible tags on a Rasberry Pi
A python utility program to provide functionality for the Raspberry Pi to work with a RFID reader. -
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Daylight-Linux official repository. Daylight linux is an operating system for PC (amd 64 live ) and for Raspberry Pi. (all version from Zero to 4.)
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Filt8- v3.6 alerts for WSJT-X FT8
Alert and filter QSO for WSJT-X FT8 FT4
Filt8 - v3.6 release - Requires Python 3.x (3.10 or higher on Mac) Scrollable maps for small screens State data as of Feb 25, 2024. Map saves settings. Map features: filter by band, click to Lookup. Offline Maps to show station grid locations as you decode them in real-time (Check out js8mapper project on https://sourceforge.net/projects/js8map/ for this same option for JS8Call) Map feature allows filtering by band, listings by callsigns or grids, and callsign lookups via QRZ or HamCall (this requires Internet). Filters & alerts WSJT-X FT8 and FT4 output for Mac/Linux/Win. Like JTAlert but minimalist and cross-platform. Works on low end systems such as Raspberry PI or laptop with minimal config, no internet required. You filter what you don't want (QRM), and perform alerts on what you do want. Allows watchlist for callsigns and grids, flagged in different colors. Written in Python Problems? Email us at snitch.lyric0z@icloud.com -
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GROWbox Supervisor System (GROWSS)
Automated Plant Environment Growing System using Raspberry Pi
GROWbox Supervisor System (GROWSS) is a grow box or grow cabinet environmental controller. GROWSS uses a Raspberry Pi (RPI) & Grove sensors to monitor and control the environment in your grow box or cabinet. Environmental factors such as temperature, humidity, soil moisture, & smoke (from fire) are monitored and displayed on a terminal connected to the RPI & on a mobile app. GROWSS also controls the exhaust fan and grow lights based on the time interval (ie. 12 hours on/12 hours off) & from environmental factors, temp & humidity. The environmental values are saved to the local storage every 15 minutes and when an alarm is present. Hi & low values are also saved. The LEDs on the case & the mobile application indicate if there is a high/low temp alarm, hi/low humidity alarm, soil moisture alarm, or smoke alarm. A speaker (buzzer) is activated on the case if there is a smoke alarm. 2 other LEDs indicate if either the exhaust fan is on or if the humidifier is on. -
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PiPong!
Pong clone written in Python for Raspberry Pi
Simple Pong clone for two players written in Python and using GPIO interface of Raspberry Pi to move paddles. -
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Tiny Python Panadapter
Simple Panadapter for I/Q Audio or RTL_SDR dongle
See article in QST, April, 2014, pp 33-38.
